https://github.com/monirsayah/rag-model-with-langchain
# RAG Model with LangChainA Retrieval-Augmented Generation (RAG) chatbot built with Streamlit that allows users to upload text documents and ask questions about their content. The application uses LangChain, ChromaDB, and Groq's language model to provide intelligent responses based on the uploaded documents. ## Features- **Document Upload**:
https://github.com/monirsayah/rag-model-with-langchain
ai aws bengali chatgpt chromadb docker embedding-vectors financial-analysis gpt4all langchain langchain-expression-language langchain-python local-rag mistral python qdrant qdrant-client rag
Last synced: 2 months ago
JSON representation
# RAG Model with LangChainA Retrieval-Augmented Generation (RAG) chatbot built with Streamlit that allows users to upload text documents and ask questions about their content. The application uses LangChain, ChromaDB, and Groq's language model to provide intelligent responses based on the uploaded documents. ## Features- **Document Upload**:
- Host: GitHub
- URL: https://github.com/monirsayah/rag-model-with-langchain
- Owner: monirsayah
- Created: 2025-06-05T10:45:52.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-06-05T22:19:07.000Z (4 months ago)
- Last Synced: 2025-06-05T23:25:36.279Z (4 months ago)
- Topics: ai, aws, bengali, chatgpt, chromadb, docker, embedding-vectors, financial-analysis, gpt4all, langchain, langchain-expression-language, langchain-python, local-rag, mistral, python, qdrant, qdrant-client, rag
- Language: Python
- Size: 8.79 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md