The open source Firebase alternative.

Your GenAI Second Brain 🧠 A personal productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, that you can share with users ! Local & Private alternative to OpenAI GPTs & ChatGPT powered by retrieval-augmented generation

100+ Chinese Word Vectors 上百种预训练中文词向量

the AI-native open-source embedding database

Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

Sample code and notebooks for Generative AI on Google Cloud

A library for transfer learning by reusing parts of TensorFlow models.

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks

A python library for self-supervised learning on images.

Basic Utilities for PyTorch Natural Language Processing (NLP)

Dense Retrieval and Retrieval-augmented LLMs

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).

PostgreSQL for Search

A distributed system for embedding-based vector retrieval