System Architecture

Retrieval Base is a high-precision knowledge extraction engine built to index technical documentation, specifications, and internal policies across distributed codebases.

Unlike generic search bars, the system retrieves semantically relevant text fragments and synthesizes answers with strict inline markdown citations referencing original source files.

Vector similarity graph and semantic search visualization
Vector similarity graph and semantic search visualization

Guardrails & Verification

  • Grounded Responses: Prompts enforce strict grounding in verified context chunks, refusing speculation when source material is incomplete.
  • Hierarchical Chunking: Documents are split using markdown structure awareness, preserving code blocks, tables, and parent section context.
  • Semantic Caching: High-frequency queries leverage embedding cosine cache lookup to return verified responses in under 120ms.

Result

Engineers spend 70% less time hunting down tribal knowledge, resolving complex technical questions through verifiable, cited documentation in seconds.

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