GitHub - embedchain/embedchain: Personalizing LLM Responses
GitHub - embedchain/embedchain: Personalizing LLM Responseshttps://github.com/embedchain/embedchain

GitHub - embedchain/embedchain: Personalizing LLM Responses

🚀 Introducing Embedchain 🤖: an open-source framework for personalizing LLM responses! 🌟 Easily segment data, optimize retrieval, and create interactive chat convos with diverse APIs. 📚 Check out the docs & get started with `pip install embedchain`! #AI #ML #OpenSource

  • **Embedchain**: Open Source Framework for personalizing LLM responses.
  • **Design Principle**: "Conventional but Configurable" for software and machine learning engineers.
  • **Functionality**: Segments data, generates embeddings, and optimizes retrieval in vector database.
  • **APIs**: Diverse APIs to extract contextual information and facilitate interactive chat conversations.
  • **Quick Install**: `pip install embedchain` for Python API.
  • **Live Demo**: Chat with PDF demo showcasing Embedchain capabilities.
  • **Usage**: Create personalized AI applications with ease using Embedchain.
  • **Documentation**: Comprehensive guides and API documentation available for users.
  • **Community**: Connect with developers on Slack, Discord, and GitHub Discussions.
  • **Contribution**: Welcome contributions following guidelines and development documentation.
  • **Telemetry**: Collects anonymous metrics to enhance package quality and user experience.
  • **Citation**: Encourages citing repository for utilizing Embedchain.
  • **About**: Describes Embedchain as an Open Source RAG Framework for personalizing LLM responses.