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Haystack vs Milvus

HaystackMilvus

Bottom line: Haystack for teams building production RAG and search; Milvus for teams operating at large scale.

HaystackHaystack

deepset's composable open-source framework for RAG and agent pipelines.

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MilvusMilvus

Open-source vector database built for scale

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Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
ragllm-frameworkopen-sourcesearchpipelines
vector-databaseopen-sourcesimilarity-searchscalabilityrag
Best for
  • Teams building production RAG and search
  • Enterprises wanting self-hostable NLP pipelines
  • Developers who prefer explicit, typed pipelines
  • Teams operating at large scale
  • Billion-vector search workloads
  • Enterprise RAG and search
Pros
  • Composable, typed pipeline model is clear and flexible
  • Apache-2.0 core, free to self-host with no lock-in
  • Strong retrieval and search heritage
  • Broad integrations with model and vector stores
  • Built-in evaluation tooling
  • Open source under Apache 2.0, free to self-host
  • Proven at billion-vector scale
  • Distributed, cloud-native architecture
  • Multiple index types and GPU acceleration
  • Hybrid search and rich filtering
Cons
  • Engineering framework, not a turnkey app
  • Managed deepset pricing is largely quote-based
  • 2.x rewrite means older 1.x tutorials are outdated
  • Skews toward retrieval more than general agents
  • Requires pipeline-design comfort
  • Operationally heavy to self-host at scale
  • Multi-component architecture adds complexity
  • Overkill for small or simple projects
  • Steeper learning curve than embedded databases
  • Zilliz Cloud compute-unit pricing needs modeling

Comparison generated from each tool's listing. Add or remove tools above to change it.