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

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.

Production-grade RAG API built in Rust. Hybrid search with HNSW dense vectors and BM25 sparse matching, cross-encoder reranking, layout-aware document extraction via Docling, and 94.5% accuracy on Open RAG Bench. Powered by Cerebras, Groq, Milvus, and Jina AI.

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

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

The repo provides the code for Qdrant for efficient image indexing and retrieval using models such as ColPali, ColQwen, and VDR-2B-Multi-V1, jina embeddings v4 etc enhancing multimodal search capabilities across various applications.

Realtime Voice AI Agent Built with Next.js and OpenAI

An unofficial, third-party desktop client for the Venice API. Not endorsed by, sponsored by, or affiliated with Venice.ai, Inc.

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.

proxy to access Jina reader service

AI Image generator and NFT Creator

🔍 Perplexity London 2025 — an AI-powered furniture shopping assistant that uses Perplexity to find real products, ElevenLabs for real-time voice consultations, and generates room visualisations to simplify purchasing.

docker compose to serve some local language models

Production-grade RAG Document Intelligence Platform — LangGraph Adaptive RAG + CRAG, LangSmith observability, RAGAS evaluation,Qdrant hybrid search (BGE dense + BM42 sparse + RRF), jinaai/jina-reranker-v1-tiny-en  re-ranking, FastAPI + Docker

Quiz generator vue3 with Gemini & Jina

This demo measures late chunking against standard embedding on two corpora — one where it hurts and one where it helps — producing concrete retrieval numbers that engineers can use to make an informed choice.

A Model Context Protocol (MCP) server that provides intelligent web reading capabilities using the Jina AI Reader API. It extracts clean, LLM-ready content from any URL.

Web Scraping & RAG-based Retrieval System

Demonstration of Elastic relevance evaluation capabilities

Elasticsearch Chunking for Agentic AI: Choosing the Right Strategy