Summary
| Foundation Year | 2018 |
| Country | 🇩🇪 Germany |
| Founders | Milos Rusic, Malte Pietsch, Timo Möller |
| Tier | Freemium, Paid |
| Platforms | API, Web Browsers |
| AI Features | AI Knowledge Base, API, Directed multigraph pipelines, Hybrid retrieval, Retrieval Augmented Generation, Self-correction loops |
| Pricing From | N/A |
| Support | Yes |
| Best Used For | AI Knowledge Base |
| Affiliate Program | No |
| White Label | No |
| API | Yes |
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Description
Features
- Advanced RAG pipelines
- Hybrid retrieval
- Self-correction loops
- Directed multigraph pipelines
- Retrievers
- Readers
- Generators
- Embedders
- Document stores
- Hayhooks (REST API deployment + OpenAI-compatible chat endpoints)
Free Plan & Pricing
Refund Policy
5 Ratings
[4.4/5]
[N/A]
5app.ai Rating
[N/A]
AI Review
[4.5/5]
Haystack by deepset is a powerful open-source NLP framework praised for building LLM apps, RAG pipelines, and semantic search with flexibility and modularity. Users highlight its comprehensive documentation and ease for production-ready applications, though some setup is needed for beginners. Reviews commend deepset Cloud for streamlining development.
Sources:- G2.com, Infoworld.com, G2.com
Our Expert's Opinion
[4.3/5]
After using similar tools: Haystack feels like a solid builder’s toolkit for RAG and search, because it lets you connect components into flexible pipelines (even with branches and loops), so you can shape the flow the way your app needs. I also like that you can turn a pipeline into a REST API using Hayhooks, including OpenAI-style chat endpoints, which makes it easier to plug into other apps. But it is not a simple “upload docs and done” knowledge base, and it can feel heavy if you just want something quick, because you have to design and maintain the pipeline yourself. Also, major version changes (like the move to 2.x) can bring breaking changes and migration work, so you need to plan for updates.
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