Haystack

The Production-Ready Open Source AI Framework

Free

Description

Haystack is presented as a highly customizable, open-source framework designed for building sophisticated AI applications. It enables developers to construct flexible pipelines tailored to specific use-cases, supporting everything from straightforward retrieval-augmented generation (RAG) applications to complex agentic systems with numerous integrated components.

The framework emphasizes production-readiness through features like fully serializable pipelines suitable for Kubernetes-native workflows, alongside integrations for essential logging and monitoring. Haystack facilitates integration with a wide array of leading large language model (LLM) providers, vector databases, and other AI tools, offering developers freedom of choice when building and deploying AI solutions across various cloud platforms or on-premise infrastructures.

Key Features

Highly Customizable: Build applications using flexible components and pipelines.
Broad Integration: Connects with leading LLM providers (OpenAI, Anthropic, Mistral), vector databases (Weaviate, Pinecone), and other AI tools.
Production-Ready Design: Offers serializable pipelines, logging/monitoring integrations, and deployment guides for cloud/on-prem.
Agentic System Support: Includes standard function-calling interfaces and pipeline architecture (branching, looping) for complex agent workflows.
Advanced RAG Capabilities: Supports multiple retrieval and generation strategies like hybrid retrieval and self-correction loops.
Multimodal Functionality: Handles tasks beyond text, including image generation, image captioning, and audio transcription.
deepset Studio Integration: Optional free visual builder (deepset Studio) for faster pipeline construction and deployment.