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

🔍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/

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

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

Python SDK for Milvus Vector Database

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

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

Open Source, Cloud Native, RESTful Search Engine Powered by Neural Networks

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.

A web UI Project In order to learn the large language model. This project includes features such as chat, quantization, fine-tuning, prompt engineering templates, and multimodality.

Build-An-LLM-RAG-Chatbot-With-LangChain-Python

Framework for benchmarking fully-managed vector databases

以图搜图基于Towhee（resnet50 模型） + Milvus

picture search by picture,resnet,milvus

Recognize faces and objects in the video based on Milvus.

A Web Crawler based on LLMs implemented with Ray and Huggingface. The embeddings are saved into a vector database for fast clustering and retrieval. Use it for your RAG.

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

Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models

Face registration and recognition system built with Docker, Uvicron+Fastapi, Milvus, Redis, and mariadb-mysql

🤖 Sam-assistant is a personal assistant that is designed to understand your documents, search the internet, and in future versions, create and understand images, and communicate with you. It is built in Python, mainly using Langchain and implements most of Langchain