DIPAK1718/Enterprise-RAG-Chatbot：基于 LangChain 与 Ollama 的企业级 RAG 聊天机器人

DIPAK1718/Enterprise-RAG-Chatbot

AI 导读

开发者 Dipak Chaudhari 开源了 Enterprise-RAG-Chatbot，一个基于 LangChain、Ollama、ChromaDB、Hugging Face Embeddings 和 Streamlit 构建的企业级 RAG 聊天机器人。

正文

An Enterprise Retrieval-Augmented Generation (RAG) chatbot built using LangChain, Ollama, ChromaDB, Hugging Face Embeddings, and Streamlit.

Features

📄 Multiple PDF Upload
🔍 Semantic Search using ChromaDB
🧠 Local LLM (Gemma 3 4B via Ollama)
🤗 HuggingFace Embeddings
💬 Chat Interface
📚 Source Citation
⚡ Response Time Display
🗑 Clear Chat
🔄 Rebuild Knowledge Base

Tech Stack

Python
Streamlit
LangChain
Ollama
Gemma 3 4B
HuggingFace Embeddings
ChromaDB

Installation

git clone https://github.com/DIPAK1718/Enterprise-RAG-Chatbot.git

cd Enterprise-RAG-Chatbot

python -m venv venv

venv\Scripts\activate

pip install -r requirements.txt
 
streamlit run app.py

Demo

Ask questions like:

What is RAG?
Explain Transformers.
What is DBMS?
Explain Self Attention.

Future Improvements

Chat Memory
Streaming Responses
Multi-user Support
Docker Deployment

Author

Dipak Chaudhari

来源：GitHub · github.com