A Retrieval-Augmented Generation (RAG) application using:
- Pinecone (vector database)
- Gemini (LLM)
- HuggingFace embeddings
- Streamlit UI
UI showing document ingestion, chat interface, and grounded answers.
- Multi-format document ingestion
- Vector-based semantic search
- Source attribution
- Clean chat-style UI
| Type | Status |
|---|---|
| โ | |
| DOCX | โ |
| CSV | โ |
| Excel (XLSX) | โ |
