Ecosystem & Stack: langchain

An open-source MCP server connecting AI agents, IDEs, and applications to enterprise databases for data interaction, schema exploration, and code generation.

A fair-code workflow automation platform empowering technical teams with visual building, custom code, native AI, and extensive integrations.

Docling simplifies document processing, parsing diverse formats including advanced PDF understanding, and provides seamless integrations with the generative AI ecosystem.

Deep Agents is a batteries-included AI agent harness built with LangChain and LangGraph, offering out-of-the-box capabilities for planning, file system interaction, sub-agent delegation, and intelligent context management to tackle complex agentic tasks efficiently.

A self-hostable, feature-rich open-source AI chatbot platform offering multi-model support, code execution, and advanced agent capabilities.

An open-source platform for building enterprise-grade AI agents, integrating RAG, robust workflows, and multi-modal capabilities to enhance smart Q&A and automate complex business scenarios.

A lightweight Python library that enables seamless integration of Anthropic Model Context Protocol (MCP) tools with LangChain and LangGraph.

A powerful application that transforms diverse unstructured data sources into structured Neo4j Knowledge Graphs using Large Language Models (LLMs) and LangChain.

A comprehensive, job-oriented guide for AI Agent development, covering core technologies, practical projects, and interview preparation for LLM-related roles.

A beginner-friendly, hands-on tutorial for large language model (LLM) application development, focusing on practical skills and RAG implementation.

Aix-DB is an intelligent data analysis system leveraging large language models and RAG technology to transform natural language queries into data insights and visualizations.

An open-source, offline-deployable RAG and Agent application built with Langchain, supporting various LLMs for private, local knowledge base Q&A.

A semantic caching library for LLM queries, designed to drastically cut API costs and accelerate response times.

Assemble, configure, and deploy autonomous AI Agents directly in your browser.

A hands-on course to learn LLMs, LLMOps, and vector databases by building, training, and deploying a real-time financial advisor LLM system.

An open-source Python library providing a LangChain-compatible implementation of the ChatGPT Code Interpreter for sandboxed code execution.

An open-source playbook providing end-to-end, code-first tutorials for building production-grade GenAI agents, from prototype to enterprise deployment.

A production-ready RAG framework that provides modular, API-driven components and a UI to streamline the deployment and management of Retrieval Augmented Generation applications.

Deep Lake is an AI data runtime and database optimized for deep learning, offering serverless multimodal data storage, scalable retrieval, and training capabilities.

A comprehensive repository offering practical implementations of 17+ state-of-the-art AI agent architectures using LangChain and LangGraph for hands-on learning and development.

A comprehensive learning resource providing tutorials and demos to master Milvus for building advanced AI applications with unstructured data.

A comprehensive repository offering practical implementations and evaluation guidance for advanced and agentic Retrieval-Augmented Generation (RAG) techniques.

A comprehensive Linux-based guide for beginners to quickly fine-tune and deploy open-source LLMs and MLLMs, tailored for Chinese learners.

An open-source project providing Chinese LLaMA-2 and Alpaca-2 large language models with expanded Chinese vocabulary, enhanced capabilities, and support for ultra-long contexts up to 64K.

A comprehensive collection of open-source database learning materials, videos, and technical articles, primarily focusing on PostgreSQL, Greenplum, and PolarDB, alongside emerging AI and vector database technologies.

An open-source, privacy-focused alternative to Google's Notebook LM, offering flexible AI model choices, multi-modal content organization, and advanced features like multi-speaker podcast generation.