向量化 / 重排服务

Solves basic Russian NLP tasks, API for lower level Natasha projects

local-first semantic code search engine

GPU-accelerated force graph layout and rendering

Implementation of the node2vec algorithm.

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

Open Source Semantic Search for your AI Agent

A deep dive into embeddings starting from fundamentals

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.

Rust library for generating vector embeddings and reranking locally!

Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs

ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector

ChatWeb can crawl web pages, read PDF, DOCX, TXT, and extract the main content, then answer your questions based on the content, or summarize the key points.

A repository of code samples for Vector search capabilities in Azure AI Search.

A high performance Vector Database leveraging parallel graph computing

A code repository indexing tool to supercharge your LLM experience.

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!

🪿 LinGoose is a Go framework for building awesome AI/LLM applications.

Fuzzy string matching, grouping, and evaluation.

Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.

SQL as a Function for Rust — an embedded SQL database with a typed ORM and pluggable LMDB/RocksDB storage.

Rust-powered code intelligence CLI for AI coding agents. Builds call graphs and hybrid semantic search indexes (Dense + Sparse + RRF + Reranker) across 7 languages. Ships as native MCP tools for Claude Code and Codex CLI.

Microsoft Foundry (demos, documentation, accelerators).

Generative Representational Instruction Tuning

On-device AI for Flutter — Gemma and other LLMs, multimodal, function calling, embeddings, RAG and speech on Android, iOS, Web, macOS, Windows and Linux.

Compute Sentence Embeddings Fast!

The Clay Foundation Model - An open source AI model and interface for Earth

Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, works with any folder of Markdown files. Extracts entity-relation triples from wikilinks & YAML frontmatter, retrieves answers via hybrid search (vector + BM25 + temporal). Multilingual. No cloud. Runs on Ollama.

A NodeJS RAG framework to easily work with LLMs and embeddings

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

An MCP Multimodal AI Agent with eyes and ears!

A flexible, adaptive classification system for dynamic text classification

Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard

A prior-art search for your code ideas — has this dev tool already been shipped?

Go library for embedded vector search and semantic embeddings using llama.cpp

🚀WebUI integrated platform for latest LLMs | 各大语言模型的全流程工具 WebUI 整合包。支持主流大模型API接口和开源模型。支持知识库，数据库，角色扮演，mj文生图，LoRA和全参数微调，数据集制作，live2d等全流程应用工具

Explore and interpret large embeddings in your browser with interactive visualization! 📍

An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing

GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM integration

RESTai is an AIaaS (AI as a Service) open-source platform. Supports many public and local LLM suported by Ollama/vLLM/etc. Precise embeddings usage, tuning, analytics etc. Built-in image/audio generation with dynamic loading generators. Live chat deployment. Built-in block based graphical language. Prompt versioning and much more...

Production-ready MVP for securely chatting with your documents using pgvector

Local-first AI agent memory with a knowledge graph, ontology constraints, and traceable reasoning—all in one SQLite file.

Better Github Star History charts, and repository recommendation engine

A curated list of retrieval-augmented generation (RAG) in large language models

MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.

Redis Vector Library. The AI-native Python client for Redis.

Provide best practices for LMOps, as well as elegant and convenient access to the features of the Qianfan MaaS Platform. (提供大模型工具链最佳实践，以及优雅且便捷地访问千帆大模型平台）

Program that lets you ask questions about your documents and audio or video files.

Official library for RaBitQ vector quantization and approximate nearest-neighbor search, in C++ and Python.