1
Document RAG
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Semantic Search
3
Chat Interface
4
Knowledge Base
Project Overview
This AI agent enables employees to query company documents and knowledge bases using natural language.
Key Features
Document RAG
PDF, DOCX, and web page ingestion
Chunk optimization for accuracy
Source citation in responses
Semantic Search
Pinecone vector database
Hybrid search capabilities
Relevance ranking
Chat Interface
Conversational Q&A
Context retention
Follow-up questions
Knowledge Base Management
Document versioning
Access control
Usage analytics
Challenges Overcome
- Hallucination prevention
- Large document handling
- Response accuracy
Key Outcomes
- 1M+ documents indexed
- 90% query accuracy
- 60% reduction in support tickets
Technologies Used
LangChain
OpenAI
Pinecone
Next.js
PostgreSQL