AI & Machine LearningIn Development

Intelligent Knowledge Base & GenAI Assistant

Retrieval-Augmented Generation (RAG) platform empowering employees to query complex internal technical manuals with verifiable accuracy.

Sector: Technical Engineering Firm

Timeline: 10 Weeks

Technical Blueprint

Intelligent Knowledge Base & GenAI Assistant

The Challenge & Operational Friction

Technical teams spent hours searching through hundreds of lengthy PDFs and operational guidelines to find specific engineering instructions.

The Architectural Solution

Built a vectorized knowledge base utilizing dense embeddings, hybrid keyword-semantic search, and a private LLM orchestration layer.

Key Verified Outcomes

< 2.5s

Query Resolution

99.4%

Citation Accuracy

12 hrs/eng

Time Saved / Week

Architecture & Engineering Highlights

Hybrid keyword + dense vector search via Pinecone

Document chunking with contextual metadata preservation

Strict multi-tenant security preventing cross-department leaks

Response grounding with exact page citation verification

Feature Implementation

Vector semantic search with sub-100ms response time

Accurate source citation linking to specific PDF pages

Strict tenant data isolation and zero model training on company data

Intuitive chat interface with conversational memory

Technology Stack Employed

PythonFastAPILangChainPineconeNext.jsReact

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