Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
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.
Open Source, Cloud Native, RESTful Search Engine Powered by Neural Networks
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.
This repository is for Milvus technical documentation update and maintenance. Visit Milvus.io for fully rendered technical documents.
以图搜图基于Towhee（resnet50 模型） + Milvus
Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models
🤖 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
Deep Research Alternative to Reasoning About Private Data
Build-An-LLM-RAG-Chatbot-With-LangChain-Python
Face registration and recognition system built with Docker, Uvicron+Fastapi, Milvus, Redis, and mariadb-mysql
Based on the large model development framework of langchain, LangGraph is integrated to create a scalable workflow architecture. RAG。基于langchain的大模型开发框架，集成LangGraph创建一个可扩展的工作流架构，RAG：结合检索向量知识库（Milvus），增强模型的知识检索能力，支持ChatGLM & OpenAI大语言
the small distributed language model toolkit; fine-tune state-of-the-art LLMs anywhere, rapidly
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