Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.
- embeddinggemma
- embeddings
- llama-cpp
- local-first
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Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.
Train and evaluate embeddings for similarity search with PyTorch. Includes contrastive losses, hard example mining, samplers, and retrieval metrics.
A curated set of 200+ plug-and-play n8n workflows that fuse classic automation with today’s AI stack—vector DBs, embeddings, and LLMs. Import any JSON, add your creds, hit Activate, and you’re live. Built to demo, prototype, or drop straight into production.
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Your Personal Librarian Agent. Ask anything on your computer, organize files, remember important info and files.
A blazing fast inference solution for text embeddings models
Translatedtext2vec, text to vector. A text vector representation tool that converts text into vector matrices. It implements text representation and text similarity calculation models such as Word2Vec, RankBM25, Sentence-BERT, and CoSENT, and works out of the box.
Semantic search over videos using Gemini Embedding 2 or Qwen3-VL.
The Ruby AI framework.
🔍 导出并模糊搜索 Telegram 聊天记录 | Export and fuzzy search your Telegram chat history
An Open-Source Package for Knowledge Embedding (KE)
Implementation and experiments of graph embedding algorithms.
Open-source AI coding assistant for VS Code. Coding agent, code completion, chat, edits and reviews with local or hosted models. Your models, your infrastructure.
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
A library for transfer learning by reusing parts of TensorFlow models.
Open-source inference server and production cluster for all the models your agent needs.
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Document Chatbot — multiple files. Powered by GPT / Embedding.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Siamese and triplet networks with online pair/triplet mining in PyTorch
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali
Easily compute clip embeddings and build a clip retrieval system with them