RAG System
Available Knowledge Base Documents
0 documents
No documents loaded yet
Upload PDF documents to build your knowledge base and start asking questions about them.
About RAG Systems
This RAG (Retrieval-Augmented Generation) system uses a knowledge base to provide accurate and contextual answers to your questions. It searches through a vector database to retrieve relevant information before generating responses.
How to use this system:
- Click the Upload PDF button to add documents to the knowledge base
- The system will process your document and split it into semantic chunks
- Each chunk is converted into a vector embedding and stored in the database
- Ask questions about your documents in the chat interface below
- The system will retrieve relevant context and generate accurate answers
Enter ⏎
Powered by RAG with Pinecone and Gemini API. Chat history stored locally.