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 is purpose-built for AI/ML engineers and developers tackling production LLM workloads. Validated use cases include:
- RAG pipelines: Compose retrieval and generation components with vector stores (Weaviate, Pinecone, Elasticsearch) to build grounded, citation-aware Q&A systems.
- AI agents: Orchestrate multi-step, tool-using agents that reason and act across multiple LLM calls and external APIs.
- Multimodal AI: Build pipelines that handle inputs beyond text, leveraging the modular component architecture.
- Conversational AI: Construct stateful dialogue systems with memory and context management baked into the pipeline graph.
- Production deployment: The framework's Kubernetes support and observability features make it suitable for high-availability, monitored production environments — not just prototyping.
- Multi-provider flexibility: Swap model providers (OpenAI ↔ Anthropic ↔ Mistral ↔ Hugging Face) at the component level without restructuring the entire pipeline.
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