#Embedding
Showing 60 of 71 repositories tagged #embedding, ranked by stars
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
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
A vector index built on TurboQuant, written in Rust with Python bindings
100+ Chinese Word Vectors 上百种预训练中文词向量
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
🔍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/
TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
A community-driven way to read and chat with AI bots - powered by chatGPT.
Siamese and triplet networks with online pair/triplet mining in PyTorch
Data framework for your LLM applications. Focus on server side solution
All-in-one platform for search, recommendations, RAG, and analytics offered via API
A curated list of community detection research papers with implementations.
Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level
Extensible, parallel implementations of t-SNE
The TypeScript library for building AI applications.
A @ClickHouse fork that supports high-performance vector search and full-text search.
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.
Generative Representational Instruction Tuning
This repo contains the code for "VLM2Vec" [ICLR 2025], "VLM2Vec-V2 [TMLR 2026]", and "MMEB-V3"
A NodeJS RAG framework to easily work with LLMs and embeddings
OpenL3: Open-source deep audio and image embeddings
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.
Minimum-distortion embedding with PyTorch
ACG2vec (Anime Comics Games to vector) are committed to creating a playground that combines ACG and Deep learning.（文本语义检索、以图搜图、语义搜图、图片超分辨率、推荐系统）
✨ AI interface for tinkerers (Ollama, Haystack RAG, Python)
一款JavaSDK用于快速接入AI大模型应用，整合多平台大模型，如OpenAi、智谱Zhipu(ChatGLM)、深度求索DeepSeek、月之暗面Moonshot(Kimi)、腾讯混元Hunyuan、零一万物(01)等等，提供统一的输入输出(对齐OpenAi)消除差异化，优化函数调用(Tool Call)，优化RAG调用、支持向量数据库(Pinecone)、内置联网增强，并且支持JDK1.8，为用户提供快速整合AI的能力。
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.
Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.
Quickly and easily build AI website or application by using embeddings!
ERNIE Bot Agent is a Large Language Model (LLM) Agent Framework, powered by the advanced capabilities of ERNIE Bot and the platform resources of Baidu AI Studio.
The resources of LucaOne, including: the model code, training scripts, embedding inference code, and trained checkpoints.
A LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。
Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
A ChatGPT integration library for .NET, supporting both OpenAI and Azure OpenAI Service
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Self-hosted AI RAG + MCP Platform
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
A simple, easy-to-hack Vector Database
Smart local file search app that understands your files
RAFT, or Retrieval-Augmented Fine-Tuning, is a method comprising of a fine-tuning and a RAG-based retrieval phase. It is particularly suited for the creation of agents that realistically emulate a specific human target.
PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
TigerLily: Finding drug interactions in silico with the Graph.
A decentralized vector database for building vector search applications
Pure MLX implementations of UMAP, t-SNE, PaCMAP, TriMap, DREAMS, CNE, MMAE, and NNDescent for Apple Silicon. Metal GPU for computation and video rendering.
Embed arbitrary resources into a go executable at runtime, after the executable has been built.
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
A friendly API and abstractions for developing AI applications.
Open-source 3D AI agent framework — GLB/glTF avatars with LLM brains, memory, emotions, and autonomous payments. MCP server · x402 · Solana/EVM · Three.js. Embed anywhere as a web component. Character studio, animation gallery, OAuth 2.1. Browser-native.
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)
Local-first AI memory — runs offline on any machine with 8 GB+ RAM (SBC, mini PC, laptop, workstation). Zero-loss verbatim archive, knowledge graph, hybrid retrieval. Framework-agnostic, no cloud.
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
A library integrating embedding and reranker models from OpenAI, SentenceTransformers etc for semantic search in vector database.