MinerU HTML
opendatalab
MinerU-HTML: An SLM-powered HTML main content extractor that outputs clean HTML bodies. Perfect for Deep Research Agents, RAG applications, and training data generation.
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opendatalab
MinerU-HTML: An SLM-powered HTML main content extractor that outputs clean HTML bodies. Perfect for Deep Research Agents, RAG applications, and training data generation.
firecrawl
🔥 This repository contains complete application examples, including websites and other projects, developed using Firecrawl.
datvodinh
Chat with multiple PDFs locally
shibing624
ChatPilot: Chat Agent Web UI,实现Chat对话前端,支持Google搜索、文件网址对话(RAG)、代码解释器功能,复现了Kimi Chat(文件,拖进来;网址,发出来)。
theaiautomators
Open-source, self-hosted alternative to NotebookLM. Chat with your documents, generate audio summaries, and ground AI in your own sources—built with Supabase and N8N on…
diandiancha
A privacy-focused AI chat platform built with Vite + Capacitor + Cloudflare. Runs locally or in the cloud, supports Gemini models, live web search, and intelligent key r…
boluo2077
🔍 Deep RAG: Advanced Retrieval-Augmented Generation system that goes beyond vector search. Enables AI to perform multi-hop reasoning, negation queries, numerical compar…
AnkitNayak-eth
CrawlAI RAG is an AI-powered website intelligence platform that allows users to crawl entire websites, index their content, and ask natural-language questions using Retr…
paulpierre
A multithreaded 🕸️ web crawler that recursively crawls a website and creates a 🔽 markdown file for each page, designed for LLM RAG
aws-samples
Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)
VZezelin
Use Signal Lab's focused Apify data APIs or Official MCP tools for public YouTube captions, website-to-Markdown RAG ingestion, known job-posting extraction, Amazon price…
wade1010
The latest graphrag interface is used, using the local ollama to provide the LLM interface.Support for using the pip installation
curiousily
Completely local RAG. Chat with your PDF documents (with open LLM) and UI to that uses LangChain, Streamlit, Ollama (Llama 3.1), Qdrant and advanced methods like reranki…
sergekostenchuk
Design human-visible, machine-readable website layers for AI assistants, RAG, and agentic search. Use this skill when the user asks for llms.txt, LLM discovery plans, vi…