GH Repository · run-llama
rags
Build ChatGPT over your data, all with natural language
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makePythonstreamlitagent-appragopenaillamaindexpythongptschatgptllmchatbotagent
rags is a Python tool from run-llama that builds a ChatGPT-style chatbot over your own data using retrieval-augmented generation, configured through natural language. It is built on LlamaIndex and OpenAI, with a Streamlit interface.
You want to stand up a RAG chatbot over your documents without writing configuration code, describing what you need in plain language instead.
Use it to
- Build a chatbot over your own documents
- Configure a RAG pipeline via natural language
- Prototype question-answering over private data
- Explore LlamaIndex-based retrieval setups
For Developers building data-grounded chatbots with LlamaIndex and OpenAI
- Role
- agent-app
- Language
- Python
- Licence
- MIT
- Forks
- 653
- Open issues
- 29
- Last push
- 2024-04-05
topicsragchatbotllamaindexopenaistreamlitllm