Haystack is an AI orchestration framework for building production-ready applications with large language models.
It lets developers design modular pipelines and agent workflows for retrieval-augmented generation, semantic search, question answering, conversational systems, multimodal applications, and other context-driven AI use cases. The framework is written for Python projects and focuses on explicit control over retrieval, routing, memory, tool use, and generation.
This is free and open source software.
Key Features
- Build modular pipelines for retrieval, ranking, filtering, routing, and generation.
- Create agent workflows with transparent control over memory, tools, and model interactions.
- Use Haystack for RAG systems, semantic search, question answering, and conversational applications.
- Integrate with a wide range of model providers, including OpenAI, Anthropic, Cohere, Hugging Face, Azure OpenAI, AWS Bedrock, and local models.
- Extend applications with custom components and community integrations.
- Install with pip or use supported deployment methods such as Docker images.
Website: github.com/deepset-ai/haystack
Support:
Developer: deepset
License: Apache License 2.0
Haystack is written in Python. Learn Python with our recommended free books and free tutorials.
Related Software
| Python Natural Language Processing Tools | |
|---|---|
| PyTorch-Transformers | Library of state-of-the-art pre-trained models for NLP |
| NLTK | Natural Language Toolkit |
| spaCy | Industrial strength natural language processing |
| scikit-learn | Machine learning library |
| Gensim | Vector space modeling and topic modeling toolkit |
| flair | Simple framework for state-of-the-art NLP |
| TextBlob | Python (2 and 3) library for processing textual data |
| textacy | Python library for performing NLP tasks |
| polyglot | Multilingual text (NLP) processing toolkit |
| AllenNLP | Apache 2.0 NLP research library |
| Snips NLU | Natural Language Understanding Python library |
| PyNLPI | Various modules useful for common, and less common, NLP tasks |
| nlpnet | Natural Language Processing with neural networks |
| Pattern | Web mining module |
| GluonNLP | Deep Learning for NLP |
| PyTorch-NLP | Neural network layers, text processing modules and datasets |
| NLP Architect | Deep Learning NLP/NLU library |
Read our verdict in the software roundup.
 Explore our comprehensive directory of recommended free and open source software. Our carefully curated collection spans every major software category.This directory is part of our ongoing series of informative articles for Linux enthusiasts. It features hundreds of detailed reviews, along with open source alternatives to proprietary solutions from major corporations such as Google, Microsoft, Apple, Adobe, IBM, Cisco, Oracle, and Autodesk. You’ll also find interesting projects to try, hardware coverage, free programming books and tutorials, and much more. Discovered a useful open source Linux program that we haven’t covered yet? Let us know by completing this form. |