Haystack
Free tierThe open-source AI framework for production-ready agents, RAG & context engineering
Free tier available·Technical·Powered by Agnostic (OpenAI, Anthropic, Mistral, Hugging Face, and more)·API available·Open source
Key strengths
Modular, composable pipeline architecture with full transparency and debuggabilityVendor-agnostic integrations across LLMs, vector stores, and data sourcesProduction-ready with Kubernetes support, serializable pipelines, and cloud-agnostic deploymentSupports advanced RAG, agentic workflows, multimodal AI, and conversational AIStrong open-source community with enterprise support and platform tiers available
Free tier + paid plans
Berlin, Germany
Self-hostable
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Developer Documentation
Haystack's documentation covers the full lifecycle of building and deploying AI pipelines:
- Pipeline Architecture: Build pipelines by connecting components (retrievers, generators, rankers, prompt builders) in a directed graph. Pipelines are serializable to YAML/JSON for reproducibility and version control.
- Component Library: Use pre-built components or author custom ones with a simple Python decorator-based API. All
ChatGeneratorcomponents share a standardized interface, enabling drop-in model swapping. - Agentic Workflows: Implement branching, looping, and tool-calling pipelines. Haystack 2.x supports standardized tool definitions and scalable context engineering patterns for multi-step agent reasoning.
- Integrations: Plug in LLM providers (OpenAI, Anthropic, Mistral, Hugging Face) and vector stores (Weaviate, Pinecone, Elasticsearch, OpenSearch) via maintained integration packages.
- Observability: Built-in logging and monitoring hooks; compatible with external observability tools. Kubernetes-ready deployment with cloud-agnostic pipeline execution.
- Experiments & Release Notes: Track framework evolution via the dedicated Experiments section and versioned Release Notes.