Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

🏆 Real-Time no-code, powerful and secure ORM 🚀 providing APIs and Docs without coding by Backend, and Frontend(Client) can customize response JSONs 🏆 实时 零代码、全功能、强安全 ORM 库 🚀 后端接口和文档零代码，前端(客户端) 定制返回 JSON 的数据和结构

LangChain4j is an open-source Java library that simplifies the integration of LLMs into Java applications through a unified API, providing access to popular LLMs and vector databases. It makes implementing RAG, tool calling (including support for MCP), and agents easy. LangChain4j integrates seamlessly with various enterprise Java frameworks.

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

Anime Scene Search by Image

🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

The Best GUI for Milvus

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

Python SDK for Milvus Vector Database

A Markdown-first memory system, a standalone library for any AI agent. Inspired by OpenClaw.

Java SDK for Milvus.

Visualize hnsw, faiss and other anns index

腾讯 APIJSON 各种语言、各种框架 的 使用示例项目、上手文档、测试数据 SQL 文件 等。Demo projects with document and SQL files for Tencent APIJSON with different programming languages and different frameworks.

CookHero是一个基于 LLM + RAG + Agent + 多模态的智能饮食与烹饪管理平台，支持智能菜谱查询、个性化饮食计划、AI 饮食记录、营养分析、Web 搜索增强，以及可扩展的 ReAct Agent / Subagent 工具体系，帮助厨房新手轻松成为“烹饪英雄”。

Code from tutorials presented on the "Code AI with Rok" YouTube channel

Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.

Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data from any vector databases or repository.

Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.