Haystack agents

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

👩🏻‍🍳 A collection of example notebooks using Haystack

✨ AI interface for tinkerers (Ollama, Haystack RAG, Python)

Mistral + Haystack: build RAG pipelines that rock 🤘

AI agent grounded with search and extract tools to reduce hallucination.

An example of a RAG backend plus UI

Building RAG and Agentic Applications with Haystack 2.0, RAGAS and LangGraph 1.0 published by Packt

Simple Haystack in-memory document store alternative that performs incremental indexing and supports SentencePiece tokenizer.

🖼️ Workshop: Build a multimodal AI agent with Haystack & GPT-4o — featuring image understanding, document retrieval, conversational memory, and human-in-the-loop safety controls

WhisperMesh is an advanced chatbot that integrates voice and text interactions, delivering personalized responses through LLM models and a sophisticated vector database. Leveraging the RAG framework from Haystack, it ensures engaging, data-driven conversations that adapt to your preferred style.

Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation

ChatBot made using Hugging Face model mistralai/Mistral-7B-Instruct-v0.2 using HayStack

A Genshin Impact Book Question Answer Project supported by LLM

Different retrieval techniques implemented in Haystack - presented at PyCon Lithuania 2025 🇱🇹

Browser extension that stores your browsing history in ChromaDB and retrieves URLs with natural language descriptions. Powered by LLMs, RAG, and vector embeddings.

A flexible Haystack 2.0 pipeline integrating Retrieval-Augmented Generation (RAG) with any OpenAPI service

A RAG pipeline that searches on the web. Powered by Haystack 2.0.

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service using Haystack

Solutions from the Advent of Haystack 2024 event, exploring Haystack framework fundamentals through advanced RAG pipelines and intelligent agents