Haystack
Free tierThe open-source AI framework for production-ready agents, RAG & context engineering
Free tier available·Technical·Powered by Multiple (OpenAI, Anthropic, Mistral, Hugging Face, and more)·API available·Open source
Key strengths
Modular, composable pipeline architectureNo vendor lock-in with broad integrationsProduction-ready with Kubernetes support and observabilityOpen-source with Apache 2.0 licenseSupports RAG, AI agents, multimodal, and conversational AI use cases
Free tier + paid plans
Berlin, Germany
Founded 2019
Self-hostable
Facts verified against haystack.deepset.ai on
Recent changes
- Plans updated: Open-source framework is free; Enterprise support and platform available with flexible pricing based on company size.
- Models updated: Multiple (OpenAI, Anthropic, Mistral, Hugging Face, and more)
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Haystack's documentation and developer resources reflect its open-source, community-driven nature:
- Framework: Python-based; pipelines are constructed by instantiating and connecting typed components with well-defined inputs and outputs.
- Pipeline types supported: RAG (Retrieval-Augmented Generation), agentic workflows, multimodal, and conversational AI pipelines.
- Integration ecosystem: Official integrations for OpenAI, Anthropic, Mistral, Hugging Face, Weaviate, Pinecone, and Elasticsearch — with a component API that allows custom integrations.
- Deployment: Self-hostable on any infrastructure; Kubernetes support is documented for production-scale deployments.
- Licensing: Apache 2.0 — permissive for commercial use.
- Pricing model: The open-source framework is fully free. Enterprise support and a managed platform are available with pricing that scales flexibly based on company size.
- GitHub: 26,814 stars as of the verified fact sheet date.
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