Clip Retrieval alternatives for AI agents.

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

21 Lessons, Get Started Building with Generative AI

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

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

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

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.

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

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

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

Incremental engine for long horizon agents 🌟 Star if you like it!

Represent, send, store and search multimodal data

Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.

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

Research project. A Memory solution for users, teams, and applications.

Superduper: End-to-end framework for building custom AI applications and agents.

Here you can find all the Tutorials for Haystack 📓