Gritlm alternatives for AI agents.

Retrieval and Retrieval-augmented LLMs

A blazing fast inference solution for text embeddings models

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

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

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).

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

100+ Chinese Word Vectors 上百种预训练中文词向量

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Bringing BERT into modernity via both architecture changes and scaling

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.

Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard

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

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

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