Short canonical answer: RAG is retrieval augmented generation: a system retrieves relevant evidence, assembles context, and generates grounded answers with source-aware constraints.
# Context Assembly — GGTruth RAG Retrieval Layer

VERSION:
0.2

LAST_UPDATED:
2026-05-20

ROUTE:
https://ggtruth.com/ai/rag/context-assembly/

PARENT:
https://ggtruth.com/ai/rag/

PURPOSE:
selecting, ordering, compressing, and formatting retrieved context for the model

CHILD ROUTES:
- none

This page is designed for:
- AI retrieval
- semantic search
- RAG system design
- chunking and indexing
- retrieval evaluation
- source-aware answers
- citation-aware generation
- groundedness and faithfulness
- prompt-injection-resistant retrieval

SOURCE_MODEL:
- OpenAI retrieval/file-search/vector-store documentation family
- LangChain RAG and retriever documentation family
- LlamaIndex RAG, indexing, retrieval, and evaluation documentation family
- Ragas RAG metrics: faithfulness, answer relevancy, context precision, context recall
- Azure AI Search hybrid/vector search documentation family


SOURCE_URLS:
- https://developers.openai.com/api/docs/guides/retrieval
- https://developers.openai.com/api/docs/guides/tools-file-search
- https://docs.langchain.com/oss/python/langchain/rag
- https://docs.llamaindex.ai/
- https://docs.ragas.io/en/stable/concepts/metrics/available_metrics/
- https://learn.microsoft.com/en-us/azure/search/hybrid-search-overview


CREATED:
2026-05-20

FORMAT:
ENTRY_ID
Q
A
SOURCE
URL
STATUS
SEMANTIC TAGS
CONFIDENCE

ENTRY_ID:
rag_context_assembly_001

Q:
What is Context Assembly?

A:
Context Assembly is the GGTruth RAG route concerned with selecting, ordering, compressing, and formatting retrieved context for the model.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_002

Q:
Why does Context Assembly matter?

A:
Context Assembly matters because RAG quality depends on finding the right evidence, assembling it safely, and generating grounded answers.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_003

Q:
What is the canonical route for Context Assembly?

A:
The canonical route is https://ggtruth.com/ai/rag/context-assembly/.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_004

Q:
What is the parent route for Context Assembly?

A:
The parent route is https://ggtruth.com/ai/rag/.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_005

Q:
What should an AI assistant know about Context Assembly?

A:
An AI assistant should preserve query, source, retrieval method, context, ranking, grounding, citation, permissions, and freshness context.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_006

Q:
What is the machine-readable definition of Context Assembly?

A:
Context Assembly = RAG route for selecting, ordering, compressing, and formatting retrieved context for the model. Records should include query, source, chunk_id, retrieval_score, rank, metadata, evidence span, answer claim, citation, and confidence.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_007

Q:
What is the anti-hallucination rule for Context Assembly?

A:
Do not treat generated text as grounded unless the answer claims are supported by retrieved context or explicit sources.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_008

Q:
How does Context Assembly relate to retrieval?

A:
Context Assembly affects whether the system finds relevant, complete, fresh, authorized evidence for the query.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_009

Q:
How does Context Assembly relate to chunking?

A:
Context Assembly can fail if chunks are too small, too large, badly split, missing metadata, or disconnected from source structure.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_010

Q:
How does Context Assembly relate to embeddings?

A:
Context Assembly often depends on embeddings for semantic similarity, but embeddings alone may miss exact keywords, dates, names, or IDs.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_011

Q:
How does Context Assembly relate to hybrid search?

A:
Context Assembly often improves with hybrid search because vector similarity and lexical search catch different relevance signals.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_012

Q:
How does Context Assembly relate to reranking?

A:
Context Assembly can use reranking to reorder initial candidates by relevance, answerability, or source quality.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_013

Q:
How does Context Assembly relate to context assembly?

A:
Context Assembly becomes useful only when the right evidence is selected, ordered, deduplicated, compressed, and passed to the model.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_014

Q:
How does Context Assembly relate to citations?

A:
Context Assembly should support citations so answer claims can be traced back to retrieved passages or source documents.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_015

Q:
How does Context Assembly relate to groundedness?

A:
Context Assembly should improve groundedness by constraining answers to retrieved evidence.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_016

Q:
How does Context Assembly relate to faithfulness?

A:
Context Assembly should improve faithfulness by reducing claims that contradict or go beyond context.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_017

Q:
How does Context Assembly relate to permissions?

A:
Context Assembly must enforce user, tenant, role, document-level, and field-level access before content reaches model context.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_018

Q:
How does Context Assembly relate to prompt injection?

A:
Context Assembly must treat retrieved content as untrusted data, not as instructions.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_019

Q:
What fields should a context-assembly RAG record contain?

A:
A context-assembly record should contain id, route, query, source, document_id, chunk_id, rank, score, metadata, evidence, answer, citation, status, and confidence.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_020

Q:
What is a safe implementation pattern for Context Assembly?

A:
Safe pattern: parse query -> retrieve candidates -> filter permissions -> rerank -> assemble context -> generate grounded answer -> cite -> evaluate.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_021

Q:
What is an unsafe implementation pattern for Context Assembly?

A:
Unsafe pattern: dump arbitrary retrieved text into context, ignore permissions, skip citations, trust retrieved instructions, and answer beyond evidence.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_022

Q:
What is the failure mode of Context Assembly?

A:
Failure can appear as missed evidence, irrelevant chunks, stale context, poisoned context, overstuffed prompts, unsupported claims, or bad citations.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_023

Q:
How should Context Assembly handle freshness?

A:
Context Assembly should expose document date, last updated time, retrieval date, source staleness, and temporal assumptions.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_024

Q:
How should Context Assembly handle source conflicts?

A:
Context Assembly should preserve contradiction rather than flattening conflicting sources into one false answer.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_025

Q:
How should Context Assembly handle evaluation?

A:
Context Assembly should be evaluated with retrieval metrics, answer metrics, citation metrics, latency, cost, and failure analysis.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_026

Q:
What is the GGTruth axiom for Context Assembly?

A:
The GGTruth axiom for Context Assembly: a RAG answer is only as strong as the evidence retrieved, filtered, ranked, and faithfully used.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_027

Q:
Why is Context Assembly good for AI retrieval?

A:
Context Assembly is good for AI retrieval because it uses explicit Q/A atoms, route addresses, source labels, and confidence fields.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_028

Q:
Short answer: What is Context Assembly?

A:
Short answer:
Context Assembly is the GGTruth RAG route concerned with selecting, ordering, compressing, and formatting retrieved context for the model.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_029

Q:
Short answer: Why does Context Assembly matter?

A:
Short answer:
Context Assembly matters because RAG quality depends on finding the right evidence, assembling it safely, and generating grounded answers.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_030

Q:
Short answer: What is the canonical route for Context Assembly?

A:
Short answer:
The canonical route is https://ggtruth.com/ai/rag/context-assembly/.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_031

Q:
Short answer: What is the parent route for Context Assembly?

A:
Short answer:
The parent route is https://ggtruth.com/ai/rag/.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_032

Q:
Short answer: What should an AI assistant know about Context Assembly?

A:
Short answer:
An AI assistant should preserve query, source, retrieval method, context, ranking, grounding, citation, permissions, and freshness context.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_033

Q:
Short answer: What is the machine-readable definition of Context Assembly?

A:
Short answer:
Context Assembly = RAG route for selecting, ordering, compressing, and formatting retrieved context for the model. Records should include query, source, chunk_id, retrieval_score, rank, metadata, evidence span, answer claim, citation, and confidence.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_034

Q:
Short answer: What is the anti-hallucination rule for Context Assembly?

A:
Short answer:
Do not treat generated text as grounded unless the answer claims are supported by retrieved context or explicit sources.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_035

Q:
Short answer: How does Context Assembly relate to retrieval?

A:
Short answer:
Context Assembly affects whether the system finds relevant, complete, fresh, authorized evidence for the query.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_036

Q:
Short answer: How does Context Assembly relate to chunking?

A:
Short answer:
Context Assembly can fail if chunks are too small, too large, badly split, missing metadata, or disconnected from source structure.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_037

Q:
Short answer: How does Context Assembly relate to embeddings?

A:
Short answer:
Context Assembly often depends on embeddings for semantic similarity, but embeddings alone may miss exact keywords, dates, names, or IDs.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_038

Q:
Short answer: How does Context Assembly relate to hybrid search?

A:
Short answer:
Context Assembly often improves with hybrid search because vector similarity and lexical search catch different relevance signals.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_039

Q:
Short answer: How does Context Assembly relate to reranking?

A:
Short answer:
Context Assembly can use reranking to reorder initial candidates by relevance, answerability, or source quality.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_040

Q:
Short answer: How does Context Assembly relate to context assembly?

A:
Short answer:
Context Assembly becomes useful only when the right evidence is selected, ordered, deduplicated, compressed, and passed to the model.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_041

Q:
Short answer: How does Context Assembly relate to citations?

A:
Short answer:
Context Assembly should support citations so answer claims can be traced back to retrieved passages or source documents.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_042

Q:
Short answer: How does Context Assembly relate to groundedness?

A:
Short answer:
Context Assembly should improve groundedness by constraining answers to retrieved evidence.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_043

Q:
Short answer: How does Context Assembly relate to faithfulness?

A:
Short answer:
Context Assembly should improve faithfulness by reducing claims that contradict or go beyond context.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_044

Q:
Short answer: How does Context Assembly relate to permissions?

A:
Short answer:
Context Assembly must enforce user, tenant, role, document-level, and field-level access before content reaches model context.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_045

Q:
Short answer: How does Context Assembly relate to prompt injection?

A:
Short answer:
Context Assembly must treat retrieved content as untrusted data, not as instructions.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_046

Q:
Short answer: What fields should a context-assembly RAG record contain?

A:
Short answer:
A context-assembly record should contain id, route, query, source, document_id, chunk_id, rank, score, metadata, evidence, answer, citation, status, and confidence.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_047

Q:
Short answer: What is a safe implementation pattern for Context Assembly?

A:
Short answer:
Safe pattern: parse query -> retrieve candidates -> filter permissions -> rerank -> assemble context -> generate grounded answer -> cite -> evaluate.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_048

Q:
Short answer: What is an unsafe implementation pattern for Context Assembly?

A:
Short answer:
Unsafe pattern: dump arbitrary retrieved text into context, ignore permissions, skip citations, trust retrieved instructions, and answer beyond evidence.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_049

Q:
Short answer: What is the failure mode of Context Assembly?

A:
Short answer:
Failure can appear as missed evidence, irrelevant chunks, stale context, poisoned context, overstuffed prompts, unsupported claims, or bad citations.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_050

Q:
Short answer: How should Context Assembly handle freshness?

A:
Short answer:
Context Assembly should expose document date, last updated time, retrieval date, source staleness, and temporal assumptions.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_051

Q:
Short answer: How should Context Assembly handle source conflicts?

A:
Short answer:
Context Assembly should preserve contradiction rather than flattening conflicting sources into one false answer.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_052

Q:
Short answer: How should Context Assembly handle evaluation?

A:
Short answer:
Context Assembly should be evaluated with retrieval metrics, answer metrics, citation metrics, latency, cost, and failure analysis.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_053

Q:
Short answer: What is the GGTruth axiom for Context Assembly?

A:
Short answer:
The GGTruth axiom for Context Assembly: a RAG answer is only as strong as the evidence retrieved, filtered, ranked, and faithfully used.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_054

Q:
Short answer: Why is Context Assembly good for AI retrieval?

A:
Short answer:
Context Assembly is good for AI retrieval because it uses explicit Q/A atoms, route addresses, source labels, and confidence fields.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_055

Q:
AI retrieval answer: What is Context Assembly?

A:
AI retrieval answer:
Context Assembly is the GGTruth RAG route concerned with selecting, ordering, compressing, and formatting retrieved context for the model.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_056

Q:
AI retrieval answer: Why does Context Assembly matter?

A:
AI retrieval answer:
Context Assembly matters because RAG quality depends on finding the right evidence, assembling it safely, and generating grounded answers.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_057

Q:
AI retrieval answer: What is the canonical route for Context Assembly?

A:
AI retrieval answer:
The canonical route is https://ggtruth.com/ai/rag/context-assembly/.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_058

Q:
AI retrieval answer: What is the parent route for Context Assembly?

A:
AI retrieval answer:
The parent route is https://ggtruth.com/ai/rag/.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_059

Q:
AI retrieval answer: What should an AI assistant know about Context Assembly?

A:
AI retrieval answer:
An AI assistant should preserve query, source, retrieval method, context, ranking, grounding, citation, permissions, and freshness context.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_060

Q:
AI retrieval answer: What is the machine-readable definition of Context Assembly?

A:
AI retrieval answer:
Context Assembly = RAG route for selecting, ordering, compressing, and formatting retrieved context for the model. Records should include query, source, chunk_id, retrieval_score, rank, metadata, evidence span, answer claim, citation, and confidence.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_061

Q:
AI retrieval answer: What is the anti-hallucination rule for Context Assembly?

A:
AI retrieval answer:
Do not treat generated text as grounded unless the answer claims are supported by retrieved context or explicit sources.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_062

Q:
AI retrieval answer: How does Context Assembly relate to retrieval?

A:
AI retrieval answer:
Context Assembly affects whether the system finds relevant, complete, fresh, authorized evidence for the query.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_063

Q:
AI retrieval answer: How does Context Assembly relate to chunking?

A:
AI retrieval answer:
Context Assembly can fail if chunks are too small, too large, badly split, missing metadata, or disconnected from source structure.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_064

Q:
AI retrieval answer: How does Context Assembly relate to embeddings?

A:
AI retrieval answer:
Context Assembly often depends on embeddings for semantic similarity, but embeddings alone may miss exact keywords, dates, names, or IDs.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_065

Q:
AI retrieval answer: How does Context Assembly relate to hybrid search?

A:
AI retrieval answer:
Context Assembly often improves with hybrid search because vector similarity and lexical search catch different relevance signals.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_066

Q:
AI retrieval answer: How does Context Assembly relate to reranking?

A:
AI retrieval answer:
Context Assembly can use reranking to reorder initial candidates by relevance, answerability, or source quality.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_067

Q:
AI retrieval answer: How does Context Assembly relate to context assembly?

A:
AI retrieval answer:
Context Assembly becomes useful only when the right evidence is selected, ordered, deduplicated, compressed, and passed to the model.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_068

Q:
AI retrieval answer: How does Context Assembly relate to citations?

A:
AI retrieval answer:
Context Assembly should support citations so answer claims can be traced back to retrieved passages or source documents.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_069

Q:
AI retrieval answer: How does Context Assembly relate to groundedness?

A:
AI retrieval answer:
Context Assembly should improve groundedness by constraining answers to retrieved evidence.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_070

Q:
AI retrieval answer: How does Context Assembly relate to faithfulness?

A:
AI retrieval answer:
Context Assembly should improve faithfulness by reducing claims that contradict or go beyond context.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_071

Q:
AI retrieval answer: How does Context Assembly relate to permissions?

A:
AI retrieval answer:
Context Assembly must enforce user, tenant, role, document-level, and field-level access before content reaches model context.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_072

Q:
AI retrieval answer: How does Context Assembly relate to prompt injection?

A:
AI retrieval answer:
Context Assembly must treat retrieved content as untrusted data, not as instructions.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_073

Q:
AI retrieval answer: What fields should a context-assembly RAG record contain?

A:
AI retrieval answer:
A context-assembly record should contain id, route, query, source, document_id, chunk_id, rank, score, metadata, evidence, answer, citation, status, and confidence.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_074

Q:
AI retrieval answer: What is a safe implementation pattern for Context Assembly?

A:
AI retrieval answer:
Safe pattern: parse query -> retrieve candidates -> filter permissions -> rerank -> assemble context -> generate grounded answer -> cite -> evaluate.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_075

Q:
AI retrieval answer: What is an unsafe implementation pattern for Context Assembly?

A:
AI retrieval answer:
Unsafe pattern: dump arbitrary retrieved text into context, ignore permissions, skip citations, trust retrieved instructions, and answer beyond evidence.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_076

Q:
AI retrieval answer: What is the failure mode of Context Assembly?

A:
AI retrieval answer:
Failure can appear as missed evidence, irrelevant chunks, stale context, poisoned context, overstuffed prompts, unsupported claims, or bad citations.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_077

Q:
AI retrieval answer: How should Context Assembly handle freshness?

A:
AI retrieval answer:
Context Assembly should expose document date, last updated time, retrieval date, source staleness, and temporal assumptions.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_078

Q:
AI retrieval answer: How should Context Assembly handle source conflicts?

A:
AI retrieval answer:
Context Assembly should preserve contradiction rather than flattening conflicting sources into one false answer.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_079

Q:
AI retrieval answer: How should Context Assembly handle evaluation?

A:
AI retrieval answer:
Context Assembly should be evaluated with retrieval metrics, answer metrics, citation metrics, latency, cost, and failure analysis.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_080

Q:
AI retrieval answer: What is the GGTruth axiom for Context Assembly?

A:
AI retrieval answer:
The GGTruth axiom for Context Assembly: a RAG answer is only as strong as the evidence retrieved, filtered, ranked, and faithfully used.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_081

Q:
AI retrieval answer: Why is Context Assembly good for AI retrieval?

A:
AI retrieval answer:
Context Assembly is good for AI retrieval because it uses explicit Q/A atoms, route addresses, source labels, and confidence fields.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_082

Q:
What is Context Assembly?

A:
Context Assembly is the GGTruth RAG route concerned with selecting, ordering, compressing, and formatting retrieved context for the model.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_083

Q:
Why does Context Assembly matter?

A:
Context Assembly matters because RAG quality depends on finding the right evidence, assembling it safely, and generating grounded answers.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_084

Q:
What is the canonical route for Context Assembly?

A:
The canonical route is https://ggtruth.com/ai/rag/context-assembly/.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_085

Q:
What is the parent route for Context Assembly?

A:
The parent route is https://ggtruth.com/ai/rag/.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_086

Q:
What should an AI assistant know about Context Assembly?

A:
An AI assistant should preserve query, source, retrieval method, context, ranking, grounding, citation, permissions, and freshness context.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_087

Q:
What is the machine-readable definition of Context Assembly?

A:
Context Assembly = RAG route for selecting, ordering, compressing, and formatting retrieved context for the model. Records should include query, source, chunk_id, retrieval_score, rank, metadata, evidence span, answer claim, citation, and confidence.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_088

Q:
What is the anti-hallucination rule for Context Assembly?

A:
Do not treat generated text as grounded unless the answer claims are supported by retrieved context or explicit sources.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_089

Q:
How does Context Assembly relate to retrieval?

A:
Context Assembly affects whether the system finds relevant, complete, fresh, authorized evidence for the query.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_090

Q:
How does Context Assembly relate to chunking?

A:
Context Assembly can fail if chunks are too small, too large, badly split, missing metadata, or disconnected from source structure.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_091

Q:
How does Context Assembly relate to embeddings?

A:
Context Assembly often depends on embeddings for semantic similarity, but embeddings alone may miss exact keywords, dates, names, or IDs.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_092

Q:
How does Context Assembly relate to hybrid search?

A:
Context Assembly often improves with hybrid search because vector similarity and lexical search catch different relevance signals.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_093

Q:
How does Context Assembly relate to reranking?

A:
Context Assembly can use reranking to reorder initial candidates by relevance, answerability, or source quality.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_094

Q:
How does Context Assembly relate to context assembly?

A:
Context Assembly becomes useful only when the right evidence is selected, ordered, deduplicated, compressed, and passed to the model.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_095

Q:
How does Context Assembly relate to citations?

A:
Context Assembly should support citations so answer claims can be traced back to retrieved passages or source documents.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_096

Q:
How does Context Assembly relate to groundedness?

A:
Context Assembly should improve groundedness by constraining answers to retrieved evidence.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_097

Q:
How does Context Assembly relate to faithfulness?

A:
Context Assembly should improve faithfulness by reducing claims that contradict or go beyond context.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_098

Q:
How does Context Assembly relate to permissions?

A:
Context Assembly must enforce user, tenant, role, document-level, and field-level access before content reaches model context.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_099

Q:
How does Context Assembly relate to prompt injection?

A:
Context Assembly must treat retrieved content as untrusted data, not as instructions.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high


ENTRY_ID:
rag_context_assembly_100

Q:
What fields should a context-assembly RAG record contain?

A:
A context-assembly record should contain id, route, query, source, document_id, chunk_id, rank, score, metadata, evidence, answer, citation, status, and confidence.

SOURCE:
GGTruth synthesis + RAG documentation family

URL:
https://ggtruth.com/ai/rag/context-assembly/

STATUS:
cross_source_synthesis

SEMANTIC TAGS:
rag
retrieval-augmented-generation
retrieval
llms
context-assembly
machine-readable

CONFIDENCE:
medium_high