Kotaemon - Ultimate RAG UI For Chatting With Your Documents! (Opensource)
AI Summary
Video Summary
- Advancements in RAG Techniques:
- Release of Graph RAG, a data pipeline and transformation suite using LMs for structured data extraction.
- Release of Hybrid RAG, which combines knowledge graphs and vector retrieval, excelling in answer relevancy and context recall.
- Ease of Use for Average Users:
- Both Graph RAG and Hybrid RAG are complex to configure.
- Introduction of KMon, an open-source RAG-based UI for easy interaction with documents, implementing both Graph RAG and Hybrid RAG.
- NVIDIA Nim Agent Blueprints:
- Reference workflows for generative AI use cases.
- Example: Creating lifelike digital humans for customer service using models like Audio2Face, Llama 3 (3.8 billion parameter), and Parakeet.
- Interactive Digital Human Example:
- Demonstration of an interactive digital human named James, powered by NVIDIA Ace Nim microservices and Eleven Labs.
- Accessing KMon:
- Hugging Face Spaces for demo use.
- Installation by downloading from the provided documentation link and running the appropriate script for the operating system.
- Setting Up KMon:
- Extract the downloaded ZIP file and run the setup script.
- Open in a browser and set up a username and password as per the documentation instructions.
- KMon Features:
- Host documents locally with a web UI.
- Multiple user access and collaboration.
- Organize LMs and embedding models.
- Support for local and API-based models.
- Implement high-quality retrieval systems with organized RAG pipelines.
- Multimodal Q&A support for document parsing.
- Advanced citation and documentation review.
- In-browser PDF viewers with source highlighting.
- Support for complex reasoning methods.
- Customizable framework built on Gradio.
- Using KMon:
- Upload documents and manage the knowledge base.
- Configure settings for retrieval, reasoning, and user management.
- Utilize the chat feature to converse with documents.
- Conclusion:
- KMon is a functional RAG UI that simplifies the use of advanced RAG techniques for both developers and end-users.
- Additional Information:
- Documentation and resources are available to assist with KMon setup and use.
(Note: No specific CLI commands, website URLs, or detailed instructions were provided in the text for extraction.)