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haystack-agents

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Build retrieval-grounded agents with Haystack — pipelines, components, and agent patterns for search-heavy workflows.

skills/haystack-agents/SKILL.md

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## Overview

Haystack is a Python framework for building LLM applications around search and
retrieval, with agents as a natural extension: its pipeline model (directed graphs
of components) hosts retrievers, readers, generators, and tools, and its agent
implementations loop over tool-calling to solve tasks. If your agent's job is
"find information and synthesize it" — research assistants, support bots over
documentation, RAG with actions — Haystack gives you production-grade retrieval
components plus the agent loop in one framework.

The distinctive value is the retrieval depth: document stores, sparse+dense
hybrid retrieval, rerankers, and evaluation harnesses are first-class, not
afterthoughts. The agent patterns build on this — a ReAct-style agent whose tools
include serious search infrastructure, with tracing and pipeline visualization