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GitHub - TilmanGriesel/chipper: ✨ AI interface for tinkerers (Ollama, Haystack RAG, Python)

Dec 30, 2024 - github.com
Chipper is a research project providing a web interface, CLI, and a simple architecture for embedding pipelines, document chunking, web scraping, and query workflows. Built with technologies like Haystack, Ollama, Docker, Tailwind, and ElasticSearch, it can run locally or as a Dockerized service. Initially created to assist with a book project, Chipper allows users to explore creative possibilities using local RAG and LLMs without sharing proprietary information with cloud services. It offers features like building a knowledge base with ElasticSearch embeddings, document splitting, web scraping, and audio transcription, accessible via a user-friendly CLI or web client interface.

The project is not production-ready but serves as a tool for education and exploration, aiming to be approachable for beginners and useful for experts. Installation involves setting up Docker and Ollama, with a quick start guide provided. Chipper's philosophy emphasizes education and innovation, offering a platform for learning AI concepts and experimentation. The roadmap includes enhancing the web UI, improving linting and formatting, and adding features like a React-based web app and smart document chunking. Contributions and improvements to the project are encouraged.

Key takeaways:

  • Chipper provides a web interface, CLI, and a simple architecture for embedding pipelines, document chunking, web scraping, and query workflows.
  • It is built with Haystack, Ollama, Docker, Tailwind, and ElasticSearch, and can run locally or as a Dockerized service.
  • The project is a research initiative aimed at using local RAG and LLMs for creative exploration without sharing proprietary details with cloud services.
  • Chipper offers features like building a knowledge base with ElasticSearch, document splitting via Haystack, web scraping, and audio transcription.
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