Haystack is an open-source AI framework designed to build production-ready LLM applications. It emphasizes customizability and composability, allowing developers to create solutions tailored to specific use cases.
Key Features:
- Customizable Pipelines: Flexible architecture for building retrieval-augmented generation (RAG) apps and complex agentic pipelines.
- LLM Provider Integration: Supports leading LLM providers like OpenAI, Anthropic, and Mistral.
- Vector Database Compatibility: Integrates with vector databases such as Weaviate and Pinecone.
- Production-Ready: Pipelines are serializable and suitable for K8s workflows, with logging and monitoring integrations.
- deepset Studio: A visual AI builder for constructing Haystack pipelines with drag-and-drop functionality.
Use Cases:
- Multimodal AI: Supports image generation, captioning, and audio transcription.
- Conversational AI: Provides a standardized chat interface for building bots.
- Content Generation: Leverages Jinja-2 templates for customized content creation.
- Agentic Pipelines: Supports function-calling interfaces and complex agent workflows.
- Advanced RAG: Enables high-performance RAG pipelines with various retrieval and generation strategies.
