基于 Streamlit、LangChain 与 Chroma 的轻量级 RAG 学习项目,支持本地知识库上传、检索增强问答与聊天式交互。
Upload text files to create a local knowledge base that answers questions through a chat interface.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime基于 Streamlit、LangChain 与 Chroma 的轻量级 RAG 学习项目,支持本地知识库上传、检索增强问答与聊天式交互。
KnowledgeBase-RAG-LLM-System has 250 stars on GitHub. It has been forked 45 times. KnowledgeBase-RAG-LLM-System is written mainly in Python. It has been in active development since 2026. KnowledgeBase-RAG-LLM-System is available under the MIT license. Its main topics are chatbot, chroma, dashscope, knowledge-base.
基于 Streamlit、LangChain 与 Chroma 的轻量级 RAG 学习项目,支持本地知识库上传、检索增强问答与聊天式交互。
KnowledgeBase-RAG-LLM-System is an open-source project. It is released under the MIT license.
Yes. KnowledgeBase-RAG-LLM-System is free and open source — you can use, modify and self-host it.
KnowledgeBase-RAG-LLM-System is available under the MIT license.
KnowledgeBase-RAG-LLM-System is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/lhh737-knowledgebase-rag-llm-system.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.