Knowledge Atlas
A compact atlas of GGTruth FAQ pages, data routes and knowledge documents across games, code, APIs, AI systems, law, health, science, finance, philosophy and society.
How GGTruth WorksSpecification for route grammar, blob pages, FAQ structure, source status and machine-readable knowledge blocks.PSO Full FAQLarge PSO Q/A page: Section IDs, solo progression, MAG planning, rares and platforms.PSO MAG FeedingMAG routes, photon blasts, feeding safety, gates and planning.Pokémon Battling RootCompetitive Pokémon retrieval root with battle mechanics rooms.Torchlight IITorchlight II retrieval layer.OpenAI API TXTMachine-readable OpenAI API truth text.llms.txtPlain-text guide for language models.AI RootAI knowledge root: agents, MCP, RAG, embeddings, prompting, evals, safety, LLMs, tool calling and vector databases.MCP RootModel Context Protocol root: clients, servers, tools, resources and security.MCP ClientsMCP client behavior and integration routes.MCP ServersMCP server behavior, tool exposure and resource access.MCP ToolsTool definitions, invocation and agent use through MCP.MCP ResourcesResource routing and context exposure through MCP.MCP SecuritySecurity boundaries and safe MCP integration.AI Agents Full BlobAgent architecture, retrieval, memory, tool use, planning, safety and orchestration.Agent RetrievalRetrieval tools and search behavior for agents.Agent MemoryMemory behavior and persistence patterns for agents.Agent ToolsTool-use routes for agents.Agent Tool RoutingChoosing and routing tools during agent execution.Agent Tool ResultsHow tool outputs are handled and summarized.Parallel ToolsParallel tool execution and result handling.Agent OrchestrationPlanning and orchestration across agent steps.Agent PlanningTask planning and decomposition.Agent PermissionsPermission and authorization patterns for agents.Agent SafetyAgent safety and boundary management.Agent SQLSQL tools and database access patterns.Agent ValidationValidation, checking and structured output control.RAG RootRetrieval-augmented generation routes.RAG RetrievalRetrieval patterns for RAG systems.RAG ChunkingChunking methods for retrieval.RAG RerankingReranking retrieved material.RAG CitationsCitation and source grounding routes.RAG EvaluationEvaluating RAG quality.Embeddings RootEmbedding systems and semantic vectors.Semantic SearchSemantic search with embeddings.Embedding Vector DatabasesVector database use with embeddings.Tool Calling RootFunction calling, schemas, validation, errors and safety.Tool Calling FunctionsFunction/tool definitions.Tool Calling SchemasSchemas and structured tool calls.Tool Calling ValidationTool-call validation and guardrails.Tool Calling ErrorsError handling for tools.Tool Calling SecuritySecurity for tool systems.LLMs RootLarge language model concepts and routes.Context WindowsContext window behavior.ModelsModel families and model selection.ReasoningReasoning behavior and limitations.MultimodalMultimodal input and output behavior.LLM LimitationsLimitations and failure modes.Prompting RootPrompting, instructions, few-shot examples and structured outputs.Prompt InstructionsInstruction design.Prompt Structured OutputsStructured output prompting.Evals RootEvaluation methods, benchmarks, rubrics and test sets.AI Safety RootSafety, medical, legal, policy, red teaming and security routes.Vector Databases RootVector database concepts and implementations.Code: JavaScriptProgramming and implementation knowledge route.Docker ImagesContainer and API-oriented knowledge route.Law: PrivacyPrivacy and legal knowledge route.Health: SymptomsHealth reference and symptom knowledge route.Science: ElectricityScientific concept FAQ route.FinanceFinance knowledge route.SocietySociety and public knowledge route.PhilosophyPhilosophy knowledge route.OshoOsho source and quote-context knowledge route.