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RAG & Knowledge RetrievalTechnical Brief

Domain Knowledge Base & RAG Copilot

Precision semantic search over proprietary operational manuals and compliance standards.

Technologies Deployed
TypeScriptNext.jsPythonpgvectorLangChain / LlamaIndexTailwind CSS

01. Context & Operational Problem

Client Context: Growing regional engineering consultancy with 5,000+ pages of scattered technical protocols.

Specific Challenge: Engineers in the field spent 30+ minutes looking for specific compliance clauses across outdated PDF folders, leading to inconsistent application of standards.

02. Engineering Architecture & Pipeline

Engineered an enterprise RAG retrieval service with hybrid search (BM25 lexical + dense vector embeddings), parent-document context expansion, and strict attribution-backed answers.

Step-by-Step Data Flow

  1. Automated document sync from cloud drive
  2. Semantic chunking with metadata tagging
  3. Hybrid search via pgvector & full-text indexing
  4. Strict grounding prompt preventing unsupported hallucination
  5. Streamed citations with exact page and section references

03. Measured Production Outcomes

  • ✔Sub-second citation lookups across 5,000+ technical documents
  • ✔100% of generated answers cite direct section and document page links
  • ✔Adopted by 45+ daily active field engineers within 3 weeks of rollout

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