Haystack

Haystack is an open-source AI orchestration framework designed for building production-ready agents, RAG (Retrieval-Augmented Generation) systems, and context-engineered applications. Developed by DeepSet, it provides developers with a modular, transparent platform for creating sophisticated AI workflows without vendor lock-in. Modular Architecture: Build and compose AI pipelines with full visibility into every step—from retrieval and reasoning to memory management and tool use Multi-Model Support: Seamlessly integrate with leading LLM providers including OpenAI, Anthropic, Mistral, and Hugging Face, plus vector databases like Weaviate, Pinecone, and Elasticsearch Production-Ready: Move from prototype to deployment using the same composable building blocks, with built-in reliability, observability, and monitoring Enterprise Scale: Deploy across any environment with Kubernetes-ready pipelines, comprehensive logging, and production deployment guides Developer-Friendly: Includes extensive documentation, tutorials, cookbooks, and interactive demos to accelerate development Teams building intelligent applications that require transparency, flexibility, and enterprise-grade performance. Ideal for RAG systems, agentic AI workflows, and custom AI orchestration needs where avoiding vendor lock-in is critical. Available as: Open-source framework with community support, or Haystack Enterprise for dedicated support, best practices templates, and flexible deployment options.