langchain

Client-side toolkit for using large language models, including where self-hosted

snowBrain - AI-Driven Insights with Snowflake (New version- https://github.com/kaarthik108/snowbrain-AGUI)

基于SpringAI & alibaba框架进行大模型应用开发、Agent开发的示例工程

A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents.

A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a ground up storage engine that thinks.

An LLM-based tool to chat with your documents and databases, including a management system | 面向企业内部环境的大模型(LLM)知识库问答系统，包含后台管理系统

🦜🔗 A Codespaces template for getting up-and-running with LangChain in seconds!

Use LLMs for building real-world apps

A diverse, simple, and secure all-in-one LLMOps platform

A comprehensive collection of LangGraph implementations, tutorials, and advanced AI workflows covering Agentic RAG systems, MCP (Model Context Protocol) development, and practical AI application patterns.

Prompt Engineering at Your Fingertips!

A sophisticated multi-agent AI system for analyzing Indian NSE-listed stocks using real-time data, technical indicators, news sentiment, and advanced AI reasoning.

This repo aims to help developers to get into the genAI topic quicker by automating AI Core and HANA Vector Engine provisioning and configuration with Terraform Provider for SAP BTP.

《Easy Data x AI》是一门面向所有 AI 爱好者的数据与 AI 基础入门课程。通过双轨学习路径，从数据驱动视角学习构建 AI Agent。

Research feedback grounded in the papers that define your field

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , Agents.

Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain

Self-hosted, Docker-first OpenAI-compatible LLM gateway with provider routing, fallbacks, API keys, and usage controls.

Beginner-friendly repository for launching your first LLM API with Python, LangChain and FastAPI, using local models or the OpenAI API.

Learn how to quickly build Agents with Amazon Bedrock