Enterprise RAG Document Intelligence Assistant
Implemented a private Retrieval-Augmented Generation (RAG) assistant that indexes proprietary contracts, regulatory guidelines, and compliance documents to deliver instant, source-attributed answers.
Overcoming Operational & Technical Hurdles
Legal and compliance analysts spent an average of 3 to 4 hours daily searching through hundreds of lengthy regulatory filings and PDF contracts to answer client inquiries.
Infi Technology Engineering Strategy
Developed a custom RAG architecture using pgvector, LangChain, and Claude 3.5. Implemented semantic chunking, prompt guardrails, and citation links pointing back to exact page numbers in the original documents.
Core Capabilities & Features Delivered
Delivered Assets & Architecture Components
- ✓Secure document ingestion and vectorization pipeline
- ✓Interactive conversational web interface with citations
- ✓Security guardrail layer filtering sensitive financial data
- ✓Semantic caching layer reducing token overhead
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