Fast Sentence Embeddings alternatives for AI agents.

A fast, efficient universal vector embedding utility package.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

Retrieval and Retrieval-augmented LLMs

One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.

A blazing fast inference solution for text embeddings models

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。

A deep dive into embeddings starting from fundamentals

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

Fast State-of-the-Art Static Embeddings

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

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).

The collection of pre-trained, state-of-the-art AI models for ailia SDK

GPU-accelerated force graph layout and rendering

Microsoft Foundry (demos, documentation, accelerators).

Persian NLP Toolkit