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Haystack

An open-source Python framework for assembling modular LLM pipelines and agent workflows.

Independent OpenViST project profile, based on linked sources.

Haystack — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Haystack when an LLM application needs explicit, customizable connections between retrieval, routing, memory and generation components.

Who it is for

  • Python developers building retrieval-augmented generation applications.
  • Teams creating semantic search, question-answering or conversational systems.
  • Developers orchestrating agent workflows and multimodal LLM applications.

Documented uses

  • Connect retrieval and generation into RAG pipelines.
  • Route tasks among tools or processing components.
  • Combine memory, retrieval and generation in conversational systems.
  • Create semantic search applications over indexed documents.
  • Assemble configurable multimodal LLM applications.
Before you choose

Requirements & limits

The project is open source under the Apache-2.0 license. The documented installation path uses the Python package `haystack-ai`; Docker images are also referenced.

  • Python is the primary implementation language.
  • The architecture emphasizes explicit control over component connections.
  • The framework covers both retrieval-focused applications and agent workflows.
  • Installation documentation lists pip and Docker-based methods.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

COMPARE OPTIONS

Compare options for Retrieval-augmented applications

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
HaystackConnect retrieval and generation into RAG pipelines.CLI, Linux, macOS, Self-hostedThe project is open source under the Apache-2.0 license. The documented installation path uses the Python package `haystack-ai`; Docker images are also referenced.
Hydra — hassenhamdiIngest Markdown documents into a searchable knowledge base.CLI, Self-hosted, ServerThe repository is public and identifies an MIT license. Local setup requires Python 3.10+, a Gemini API key and Docker with Docker Compose for Milvus.
AgentnexusConfigure agents from stored models, tools, prompts, memory, and knowledge sources.Docker, Self-hosted, ServerThe project is documented as open source, and its README states that it uses the MIT License.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
30 September 2026
Original website title
deepset-ai/haystack · Official homepage title · retained in its source language
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