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JetXu-LLM /llama-github

Star284

Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LLMs and Generates context for any coding question, in order to streamline the development of sophisticated AI-driven applications.

github github-api python-library chatbot code-generation github-search ai-code-generator ai-agent llm jinaai langchain retrieval-augmented-generation

UpdatedMar 12, 2025
Python

m92vyas /llm-reader

Star133

Turn Webpage to LLM friendly input text. Similar to Firecrawl and Jina Reader API. Makes RAG, AI web scraping, image & webpage links extraction easy.

scraper scraping extract-data webscraping scraping-websites ai-agents rag llm jinaai llm-agent ai-web-scraper firecrawl ai-agent-tools

UpdatedFeb 10, 2025
Python

spences10 /mcp-jinaai-reader

Star18

🔍 Model Context Protocol (MCP) tool for parsing websites using the Jina.ai Reader

mcp documentation-tool text-extraction web-scraping content-extraction web-content jinaai llm-tools model-context-protocol

UpdatedMar 12, 2025
JavaScript

dazeb /markdown-downloader

Star10

A MCP Server that will download any webpage as markdown in an instant. Download docs straight to your IDE for AI context. Powered by Jina.ai

markdown downloader ai mcp ai-tools jinaai llm-training claude-3-5-sonnet

UpdatedMar 12, 2025
JavaScript

mbappeenjoyer /Dynamic-Multi-Agent-RAG-Pathway

Star5

Dynamic Multi-Agent RAG solution tailor made for long documents in finance and legal domains

docker agi raptor multi-agent-systems unstructured rag jinaai autoprompt agentic-ai page-level-retrieval

UpdatedDec 25, 2024
HTML

gagangulyani /IM-LY

Star2

AI Image generator and NFT Creator

python angularjs deeplearning dalle2 jinaai

UpdatedMar 26, 2024
TypeScript

justthecontent /api.jina.proxy

Star1

proxy to access Jina reader service

nodejs ai proxy-server jinaai

UpdatedFeb 19, 2025
JavaScript

KacemMathlouthi /AINS-ML.Guide

Star1

ML.GUIDE is a Multi-LLM Agent System designed to help professionals define, evaluate, and solve machine learning problems. It leverages specialized AI agents for tasks like problem definition, data assessment, model recommendations, research, and code generation. Developed in 17 hours during the AI National Summit (AINS) hackathon on June 9, 2024.

machine-learning arxiv multi-agent-systems sweetviz jinaai crewai