
Haystack
AI orchestration framework for production LLM apps
The Lens
Haystack connects documents, language models, and retrieval systems into production-ready NLP pipelines, handling the plumbing so you can focus on the AI logic. It's plumbing for AI apps: connecting your data sources to language models to output. Apache 2.0. Built by deepset. The pipeline architecture lets you chain components (retrievers, readers, generators, rankers) into workflows. Supports OpenAI, Hugging Face, Cohere, and local models. Native integrations with vector databases like Qdrant, Weaviate, and Chroma.
Fully free and open source. deepset offers a managed platform (deepset Cloud) for enterprise deployments with collaboration and evaluation features, but the framework itself has zero restrictions. Self-hosting is straightforward. pip install, define your pipeline in Python. The ops burden depends on what you connect: a simple RAG pipeline is trivial, a multi-step agent with retrieval and re-ranking needs more infrastructure.
Solo to small teams: free, great developer experience. Medium teams: evaluate deepset Cloud when you need shared pipelines and evaluation dashboards. Large: deepset Cloud or your own orchestration layer.
The catch: Haystack is a framework, not a product. You still need to pick your models, vector store, and deployment strategy. And if you're already deep in the LangChain ecosystem, migrating has real cost. The abstractions are different enough that it's not a drop-in swap.
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Free vs Self-Hosted vs Paid
free self hosted paid cloud### Free Tier The Haystack framework is fully open source under Apache 2.0. All components, integrations, and pipeline features are free. No gated features.
### Self-Hosted Costs The framework itself is free. Your costs are the infrastructure underneath: LLM API calls ($0.001-0.06/1K tokens depending on model), vector database hosting, and compute for the pipeline server. A basic RAG app might cost $20-100/mo in API calls.
### Paid (deepset Cloud) deepset Cloud offers managed pipelines, evaluation tools, and team collaboration. Pricing is custom/enterprise. Contact deepset for quotes. Targeted at teams that need shared pipeline management and production monitoring.
### When to Pay Pay for deepset Cloud when your team needs shared pipeline management, A/B testing of retrieval strategies, or production-grade monitoring across multiple pipelines.
Framework is free. You pay for the LLM APIs and infra you plug into it. deepset Cloud for enterprise collaboration.
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