Open SourceIntermediate
Haystack RAG Framework
Haystack is an open-source framework by deepset for building production-ready LLM applications, specializing in retrieval-augmented generation (RAG) and question-answering pipelines. It offers modular components for document processing, embedding, and retrieval that connect easily with models from OpenAI, Hugging Face, and more.
Overview
"Haystack RAG Framework" is a "Open Source" resource curated by AI Resource Hub, filed under the Frameworks category and suited to Intermediate-level learners. It is provided by deepset, was last updated on 2026-06-22, and holds an editorial score of 4.5/5 from our team. Click "Visit Resource" on the right to open the original page.
Tags
HaystackRAGRetrievalFramework
Key Features
- ▹Build RAG and search pipelines
- ▹Modular, swappable components
- ▹Production-focused design
Pros
- +Solid for search and RAG in production
- +Clear pipeline abstractions
- +Clean pipeline abstraction for search and RAG
Cons
- −Smaller community than LangChain
- −Fewer ready-made integrations than the biggest frameworks
- −Mindshare skews toward LangChain in tutorials
FAQ
Visit Resource →
Details
- Pricing
- Free and open source
- Author
- deepset
- Editorial score
- ★ 4.5 / 5
- Last updated
- Jun 22, 2026