{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/4"}],"enrichment":{"capability":"Haystack is an open-source framework for building production-ready LLM applications by composing modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation.","skillfed_tags":["rag-framework","llm-orchestration","agent-workflows"],"use_cases":["Build retrieval-augmented generation systems that combine document retrieval with LLM generation for question answering","Create semantic search applications that rank and retrieve relevant documents from large collections","Design autonomous agent workflows with tool calling, memory, and multi-step reasoning loops","Develop multimodal applications that process and reason over text, images, and structured data","Prototype and experiment with different LLM providers and retrieval strategies without rewriting application code","Deploy production-ready LLM pipelines with transparent, auditable control flow and error handling"],"what_it_does":"Haystack is a framework for composing LLM applications as explicit, transparent pipelines and agent workflows. It provides built-in components for retrieval, indexing, tool calling, memory, and evaluation, while remaining model- and vendor-agnostic\u2014you can integrate with OpenAI, Mistral, Anthropic, Cohere, Hugging Face, Azure OpenAI, AWS Bedrock, or local models and swap them without rewriting your system.\n\nThe framework emphasizes modular design and deep customization: you build systems by connecting components into pipelines with explicit control over how context flows through retrieval, ranking, filtering, routing, and generation stages. It supports both traditional RAG systems and autonomous agents with loops, branches, and conditional logic. Core dependencies include pydantic, jinja2, httpx, and openai for provider integration.","worth_installing":"Yes. Haystack is a mature, actively maintained framework (Apache-2.0, production-stable status, 26210 GitHub stars, OpenSSF Best Practices certified) with low install friction and no known vulnerabilities. It is well-suited for anyone building production LLM applications who needs modular, vendor-agnostic orchestration with explicit control over retrieval and generation."},"id":"haystack-ai","links":{"html":"https://skillfed.io/packages/haystack-ai","md":"https://skillfed.io/packages/haystack-ai.md","pypi":"https://pypi.org/project/haystack-ai/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-20","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"haystack-ai","python_support":"supports_current","summary":"LLM framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data."},"popularity":{"monthly_downloads":1059625,"position":4422,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"3.0.0"}