LLM Orchestration

Haystack

Build industrial-strength applications with Transformer models and LLMs.

Status
Generally available
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Haystack is a framework for building robust applications using Transformer models and large language models. It simplifies the process of integrating AI into your projects, making it easier to develop advanced features like question answering systems and document search engines.

Haystack stands out with its modular architecture, making it highly flexible and adaptable to various AI integration needs in Python-based applications.

When it fits — and when it doesn’t

A good fit for

  • Teams building RAG apps who need a modular architecture for flexibility

  • Developers integrating AI into existing applications with Python

  • Researchers developing custom NLP solutions using Transformer models and LLMs

Look elsewhere if

  • Projects requiring real-time streaming capabilities (batch-only architecture)

  • Budget-constrained projects that cannot afford the computational resources required for running large language models

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited documentation for advanced use cases

    Tutorials and examples are sparse beyond basic integrations

  2. 02

    Performance issues with large datasets

    Slow indexing times observed when processing extensive document collections

What it does well

  • Support for Transformer models and LLMs

  • Question answering system integration

  • Document search engine capabilities

  • Modular architecture for flexibility

  • Extensive documentation and community support

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Haystack

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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