rag-chatbot and RAG-ChatBot-Streamlit-Ollama-MongoDB-ChromaDB

Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 2/25
Adoption 3/25
Maturity 7/25
Community 12/25
Stars: 387
Forks: 97
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 4
Forks: 1
Downloads:
Commits (30d): 0
Language: Python
License:
No Package No Dependents
No License Stale 6m No Package No Dependents

About rag-chatbot

umbertogriffo/rag-chatbot

RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

This chatbot helps you get answers from your own collection of Markdown documents, like internal company wikis or project notes. You provide the chatbot with your Markdown files, and it allows you to ask questions in plain language, providing concise answers based only on the information within those documents. It's ideal for anyone who needs to quickly find specific information across a large set of internal documentation.

knowledge-management documentation-search information-retrieval internal-support content-query

About RAG-ChatBot-Streamlit-Ollama-MongoDB-ChromaDB

Dhruvpatel004/RAG-ChatBot-Streamlit-Ollama-MongoDB-ChromaDB

🤖 NoCapGenAI is a Retrieval-Augmented Generation (RAG) chatbot built with Streamlit, Ollama, MongoDB, and ChromaDB. It features a clean, modern UI and persistent vector memory for context-aware conversations. Easily integrates with Ollama-supported models like phi3:mini, llama3, mistral, and more. Designed to support customizable assistant modes

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