Reference ImplementationCategory: RAG | Sector: Legal & Corporate Operations

Enterprise RAG Contract & Legal PDF Assistant

The Operational Bottleneck

Legal team spent 15+ hours weekly manually searching through 4,000+ vendor contracts for indemnity clauses and expiry dates.

INFERIX Solution

Built a high-performance RAG pipeline using pgvector and Claude API to index PDF contracts and query clauses via natural language.

System Topology Blueprint

Production Architecture

Client App / Web UI <---> API Gateway (FastAPI) <---> Auth & Permissions (JWT/RBAC) | +----------------------------------+----------------------------------+ | | | [pgvector / PostgreSQL] [Redis Cache / Queue] [Claude API / LLM] Vector Embeddings Storage Session & Task State RAG & Reasoning

Key System Features

Sub-second vector semantic search across PDF archives

Clause extraction & risk score classification

Source citation highlighting on raw PDF pages

Technologies Used

Next.js 15Python FastAPIpgvector / PostgreSQLClaude 3.5 SonnetDocker

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