Embedding

TencentDB Agent Memory is a TypeScript library that provides local long-term memory for AI agents through a 4-tier progressive pipeline with symbolic...

A comprehensive, systems-level tutorial on Retrieval-Augmented Generation (RAG) technology for developers building LLM applications, covering data...

turbovec is a Rust-based vector search index with Python bindings, implementing Google's TurboQuant quantization algorithm to achieve 8× compression...

Claude Context is an MCP plugin that integrates semantic code search into Claude Code and other AI coding agents, enabling them to efficiently find...

ms-swift is a comprehensive fine-tuning and deployment framework for 600+ large language models and 300+ multimodal models, supporting training...

node-llama-cpp provides Node.js bindings for running large language models locally using llama.cpp, with support for GPU acceleration (Metal, CUDA,...

Infinity is an AI-native database optimized for LLM applications, providing hybrid search across dense vectors, sparse vectors, tensors, and...

UltraRAG is a low-code framework for building retrieval-augmented generation (RAG) pipelines that integrates with model context protocol (MCP) and...

Telegram Search is a self-hosted platform that exports Telegram chat history and enables fuzzy search with vector-based semantic matching,...

Embedding Atlas is an interactive visualization tool for large-scale embeddings and tabular data, enabling real-time search, clustering,...

Trieve is an all-in-one platform providing semantic search, recommendations, RAG (Retrieval-Augmented Generation), and analytics via a REST API,...

Langchain-Chatchat is an open-source RAG (Retrieval-Augmented Generation) and Agent application framework built on LangChain that enables...

PaddleNLP is a comprehensive LLM and SLM development toolkit built on PaddlePaddle that enables efficient training, compression, and inference of...