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Haystack vs Dify

HaystackDify

Bottom line: Haystack for teams building production RAG and search; Dify for teams building LLM apps and agents quickly.

	Haystack deepset's composable open-source framework for RAG and agent pipelines. Visit	Dify Open-source platform for building production-ready LLM apps and agents. Visit
Votes	0	0
Pricing	Freemium	Freemium
Category	Coding	Coding
Tags	ragllm-frameworkopen-sourcesearchpipelines	llmopsopen-sourceai-agentsragworkflow
Best for	Teams building production RAG and search Enterprises wanting self-hostable NLP pipelines Developers who prefer explicit, typed pipelines	Teams building LLM apps and agents quickly Organizations with data-residency needs Developers who want an open-source, self-hostable stack
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	Genuinely open-source and self-hostable for strong data control All-in-one: workflow, RAG, agents, and prompt IDE in one workspace Low-code visual canvas lowers the barrier to building Broad model and provider support, including self-hosted models Large, active community and a marketplace ecosystem
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framework, not a turnkey app Managed deepset pricing is largely quote-based 2.x rewrite means older 1.x tutorials are outdated Skews toward retrieval more than general agents Requires pipeline-design comfort	License is not fully permissive; multi-tenant resale and branding removal are prohibited Real cost is dominated by separate LLM token spend, not the platform fee Message-credit model on paid tiers can feel limiting at scale Self-hosting adds ops and maintenance burden Free tier's one-time credits are essentially a demo allowance

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