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Integrate with LangChain, LlamaIndex, and Haystack

NeMo Retriever Library is commonly used behind retrieval-augmented generation (RAG) apps built with popular orchestration frameworks.

Jupyter examples (LangChain and LlamaIndex)

The repository includes notebooks that demonstrate multimodal RAG patterns:

• Multimodal RAG with LangChain
• Multimodal RAG with LlamaIndex

These are also linked from Jupyter Notebooks and the FAQ.

Haystack

Haystack-related extraction modes may appear in API tables as deprecated in favor of current pipeline options. For up-to-date integration patterns, prefer the Python API and CLI docs, and check Release notes for migration notes.

Related

• Use the Python API
• Use the CLI
• Chunking, Upload data, Filter search