Enterprise Chatbot with LangChain
Custom data chatbot with admin panel supporting multiple data sources and vector databases.
- LangChain
- OpenAI API
- Pinecone
- Python
- SQL
Built an enterprise chatbot with LangChain that uses custom data sources including files, databases, and APIs for personalized responses.
What it does
Provides an admin panel to test chat and manage data sources with user authentication. Can be embedded in any website as an iframe. Supports multiple file formats (.csv, .pdf, .txt, .json) as data sources. Works with vector databases like Pinecone and can use any SQL local or cloud database as a data source.
Technical Implementation
Developed using LangChain for LLM orchestration and OpenAI API for language processing. Integrated Pinecone vector database for semantic search. Built admin panel with authentication and data source management. Created iframe embedding capability for easy website integration. Implemented multi-format file parsers and SQL database connectors.
Impact
Enables businesses to deploy custom AI chatbots using their own data, providing accurate, context-aware responses while maintaining full control over knowledge sources.