This project is a Retrieval-Augmented Generation (RAG) chatbot that allows users to upload documents and ask questions about them. It uses LangChain for document processing, FAISS for vector storage, and a local Mistral LLM running via Ollama.
- 📁 Upload and process PDF, TXT, and DOCX files
- 🔍 Semantic document retrieval using FAISS
- 🧠 Query answering using Mistral LLM via Ollama
- 🧾 Structured output with bullet points, tables, and paragraphs
- ✅ Local inference (no API limits or latency)
| Component | Tool/Library |
|---|---|
| Frontend | Streamlit |
| Embeddings | intfloat/e5-small-v2 |
| Vector Database | FAISS |
| Document Parsing | LangChain Loaders |
| LLM | Mistral via Ollama |