Haystack is an open-source AI orchestration framework designed for building production-ready LLM-powered agents and applications. It provides a modular, composable pipeline architecture that enables developers to build transparent AI systems with full visibility into retrieval, reasoning, memory, and tool use. Haystack supports a wide range of use cases including advanced RAG, AI agents, multimodal AI, conversational AI, and content generation. It integrates freely with major AI providers (OpenAI, Anthropic, Mistral, Hugging Face) and vector databases (Weaviate, Pinecone, Elasticsearch). The framework is designed for scalability, with serializable, cloud-agnostic pipelines that are Kubernetes-ready, and includes enterprise support and a visual AI orchestration platform (Haystack Enterprise). Haystack is maintained by deepset and has a strong community with over 25k GitHub stars.
Key Benefits
- Build transparent, context-engineered AI systems with full visibility
- Integrate freely with major AI providers and vector stores without vendor lock-in
- Develop and deploy faster from prototype to production with unified tooling
- Operate at enterprise scale with serializable, cloud-agnostic, Kubernetes-ready pipelines