Swiss Army Llama alternatives for AI agents.

Retrieval and Retrieval-augmented LLMs

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

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

Multi-tool for semantic search

100+ Chinese Word Vectors 上百种预训练中文词向量

Open-source inference server and production cluster for all the models your agent needs.

Bringing BERT into modernity via both architecture changes and scaling

Optimized LLM-Powered Data Processing: up to 1000x speedups with fast, accurate query processing, that's as simple as writing Pandas code

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

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

Privacy-respecting metasearch engine

Implementation of the node2vec algorithm.

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

Nomic Developer API SDK

Search plugins for qBittorrent search feature