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The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
Open-source search and retrieval database for AI applications.
100+ Chinese Word Vectors 上百种预训练中文词向量
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
Retrieval and Retrieval-augmented LLMs
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
Postgres with GPUs for ML/AI apps.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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, and PyTorch with more integrations coming..
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。
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Chat with your notes & see links to related content with AI embeddings. Use local models or 100+ via APIs like Claude, Gemini, ChatGPT & Llama 3
A blazing fast inference solution for text embeddings models
A library for transfer learning by reusing parts of TensorFlow models.
A python library for self-supervised learning on images.
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
A curated list of Generative AI tools, works, models, and references
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).