Pipelines & RAGOpen Source✦ Free Tier

Haystack

Composable NLP and LLM pipeline framework

⭐ 18,000 stars● Health 85 — ActiveApp Infrastructure
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About

deepset's open-source framework for building production NLP and LLM pipelines. Strong focus on RAG, search, and document AI use cases.

Choose Haystack when…

  • •You're building search-first or RAG pipelines in Python
  • •Deepset's enterprise search DNA fits your use case
  • •You need flexible document processing pipelines

Builder Slot

How do your AI calls chain together?Optional for most stacks

The pipeline layer that connects LLM calls, retrieval, and data processing into a workflow

Dev Tools
Not applicable
App Infra
Optional
Hybrid
Optional

Other tools in this slot:

LangChainLlamaIndexDSPyFlowiseDifyn8nLangflowVercel AI SDK+3 more

Stack Genome Detection

AIchitect's Genome scanner detects Haystack in your project via these signals:

pip packages
haystack-aifarm-haystack

Integrates with (2)

QdrantLLM Infrastructure

Haystack has a native Qdrant document store integration — Qdrant becomes a retrieval backend in Haystack pipelines.

→ Production-grade vector retrieval inside Haystack pipelines using Qdrant's filtered search and payload storage.

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PineconeLLM Infrastructure

Haystack connects to Pinecone as a managed document store backend for its retrieval pipelines.

→ Scalable, managed vector retrieval inside Haystack with no infrastructure to operate.

Compare →

Alternatives to consider (2)

LangChaincompare →LlamaIndexcompare →

Pricing

✦ Free tier available
deepset CloudCustom

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