sentence-transformers

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Fast State-of-the-Art Static Embeddings

Efficient Retrieval Augmentation and Generation Framework

On-premises conversational RAG with configurable containers

An editing tool that uses AI to transcribe, understand content and search for anything in your footage, integrated with ChatGPT and other AI models

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

unified embedding model

Local first semantic code search and chat | Leverage custom copilots with fine-tuning datasets from code in Alpaca, Conversational, Completion and Instruction format

Local-first persistent memory for AI coding agents (Claude Code, Cursor, Codex) over MCP. Decisions, lessons and facts live in one SQLite file on your disk. Offline, multilingual.

MinT: Minimal Transformer Library and Tutorials

Optimize Document Retrieval with Fine-Tuned KnowledgeBases

Open Source Text Embedding Models with OpenAI Compatible API

sentence-transformers to onnx 让sbert模型推理效率更快

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

DocMind AI is a powerful, open-source Streamlit application leveraging LlamaIndex, LangGraph, and local Large Language Models (LLMs) via Ollama, LMStudio, llama.cpp, or vLLM for advanced document analysis. Analyze, summarize, and extract insights from a wide array of file formats, securely and privately, all offline.

A convenient way to link, deduplicate, aggregate and cluster data(frames) in Python using deep learning

Local-GenAI-Search is a generative search engine based on Llama 3, langchain and qdrant that answers questions based on your local files