Haystack
UnclaimedThe open-source AI framework for building and orchestrating production-ready RAG and agentic AI applications.
Visit WebsiteTL;DR - Haystack
- Open-source AI orchestration framework for RAG and agentic AI.
- Modular pipeline architecture for transparent, customizable, and scalable AI systems.
- Supports advanced RAG, multimodal AI, conversational AI, and content generation with broad integrations.
Pricing: Free plan available
Best for: Growing teams
Pricing Plans
Free TrialHaystack, AI Orchestration Framework
Free
- Open Source AI framework for building production-ready, LLM-powered agents and applications
- Community support
Enterprise Support
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- Enterprise-support for the Haystack framework
- Private, secure engineering support
- Best practices templates & deployment guides
- Access to flexible services
- Flexible pricing based on company size
AI Orchestration Platform
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- Sovereign AI toolset built on Haystack to accelerate and scale AI use cases
- Visual, code-aligned pipeline design
- Data, retrieval, and testing workflows
- Secure access controls and auditability
- Scalable cloud or on-prem deployment
About Haystack
Haystack is an open-source AI orchestration framework developed by deepset, designed for Python developers to build sophisticated, agentic AI applications. It provides a modular pipeline architecture with a rich ecosystem of integrations, allowing for precise control over how AI systems are composed, debugged, and run in production. Haystack enables users to orchestrate every step of their AI agent, from retrieval to reasoning to tool use, offering full visibility to inspect, debug, and optimize AI decisions.
The framework supports advanced RAG pipelines, complex agentic workflows with branching and looping, multimodal AI capabilities (image processing, generation, audio transcription), conversational AI, and flexible content generation. It integrates freely with various AI stacks including OpenAI, Anthropic, Mistral, Hugging Face, Weaviate, Pinecone, and Elasticsearch, preventing vendor lock-in. Haystack is built for enterprise scale, offering serializable, cloud-agnostic, and Kubernetes-ready pipelines with built-in reliability, observability, logging, and monitoring, making it suitable for moving from proof-of-concept to full production.
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Haystack FAQ
Haystack is an open-source AI orchestration framework developed by deepset. It enables Python developers to build sophisticated, agentic AI applications with a modular pipeline architecture, offering precise control over composition, debugging, and production deployment of AI systems. It supports advanced RAG, agentic workflows, multimodal AI, and conversational AI.
Haystack offers an open-source framework which is free. For enterprise-grade support and additional operational capabilities, there are paid offerings: Haystack Enterprise Starter (previously Haystack Enterprise) and Haystack Enterprise Platform. Pricing for these enterprise solutions is flexible and based on company size, with the Enterprise Platform offering a free trial.
Yes, the core Haystack AI orchestration framework is open-source and free to use. Deepset also offers paid enterprise solutions, Haystack Enterprise Starter and Haystack Enterprise Platform, which provide additional support and tooling for production at scale.
Haystack is primarily for Python developers and engineering teams who want to build, deploy, and scale production-ready, LLM-powered agents and applications. It's suitable for teams looking for transparent, customizable, and robust AI systems, from prototyping to enterprise-scale operations, especially those focused on advanced RAG, agentic workflows, and multimodal AI.