A Web Crawler based on LLMs implemented with Ray and Huggingface. The embeddings are saved into a vector database for fast clustering and retrieval. Use it for your RAG.
$ git clone https://github.com/Aavache/LLMWebCrawler.gitA community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
⚡ Local chat assistants with AI superpowers
Lightweight chat AI platform featuring custom knowledge, open-source LLMs, prompt-engineering, retrieval analysis. Highly customizable. For Retrieval-Centric & Retrieval-Augmented Generation.
Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖❤️📚
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💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Data from GitHub · snapshot Nov 13, 2026