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Top 11 ai engineering · retrieval augmented generation that work with Azure

LangChain is the highest-ranked provider in the Top 11 The 11 Best RAG Frameworks (2026) that integrates with Azure.

Why this answer

Filtered to entries that publicly document a Azure integration. We do not include "API available" as proof of integration — there has to be a named connector or first-class workflow.

Showing all 4 matches. Top 11 publishes whatever the data supports — we don’t pad lists. See the full ranked The 11 Best RAG Frameworks (2026).

  1. #1LangChain(rank #1 in The 11 Best RAG Frameworks (2026))

    9.3/9.4

    The most versatile framework with the largest ecosystem for building any type of LLM application, including advanced RAG.

    Full LangChain review · Compare: LangChain vs Haystack · Alternatives

  2. #2Haystack(rank #3 in The 11 Best RAG Frameworks (2026))

    8.9/9.4

    A mature, enterprise-focused framework for building scalable neural search and complex RAG pipelines.

    Full Haystack review · Alternatives

  3. #3Microsoft Semantic Kernel(rank #5 in The 11 Best RAG Frameworks (2026))

    8.5/9.4

    The go-to framework for developers in the Microsoft ecosystem, offering strong .NET/C# and Azure integration.

    Full Microsoft Semantic Kernel review · Alternatives

  4. #4Unstructured.io(rank #10 in The 11 Best RAG Frameworks (2026))

    7.5/9.4

    The essential open-source library and API for parsing complex file formats (PDFs, PPTs) for RAG ingestion.

    Full Unstructured.io review · Alternatives

Methodology: /methodology · No paid placement ever · Verified .