[GH-ISSUE #1527] [FEAT]: Add Azure Document Intelligence for indexing #982

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opened 2026-02-22 18:22:31 -05:00 by yindo · 2 comments
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Originally created by @dicktangdev on GitHub (May 24, 2024).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/1527

What would you like to see?

Our another Azure OpenAI solution with Azure Document Intelligence works great at indexing PDFs containing charts and tables, enabling accurate data extraction from these elements. However, when utilizing Anything LLM, it frequently indicates that the tables'/charts' information is not provided. Could you advise on a method to leverage Azure Document Intelligence for enhanced indexing and parsing capabilities?

Originally created by @dicktangdev on GitHub (May 24, 2024). Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/1527 ### What would you like to see? Our another Azure OpenAI solution with Azure Document Intelligence works great at indexing PDFs containing charts and tables, enabling accurate data extraction from these elements. However, when utilizing Anything LLM, it frequently indicates that the tables'/charts' information is not provided. Could you advise on a method to leverage Azure Document Intelligence for enhanced indexing and parsing capabilities?
yindo added the enhancementIntegration Requestfeature request labels 2026-02-22 18:22:32 -05:00
yindo closed this issue 2026-02-22 18:22:32 -05:00
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@timothycarambat commented on GitHub (May 24, 2024):

Is this service an offering that Azure provides outside of their built in Document Chat? If so then we could leverage it possibly. Otherwise, we do not OCR/vision PDF images or chats, which is why that data would not be referenced since not every LLM is multimodal - making full transcription/captioning not tenable for those who are not using those types of models

@timothycarambat commented on GitHub (May 24, 2024): Is this service an offering that Azure provides outside of their built in Document Chat? If so then we could leverage it possibly. Otherwise, we do not OCR/vision PDF images or chats, which is why that data would not be referenced since not every LLM is multimodal - making full transcription/captioning not tenable for those who are not using those types of models
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@dicktangdev commented on GitHub (May 26, 2024):

Hi @timothycarambat,

Thanks for your reply. Yes, the Azure document intelligence(DI) is a standalone service and can be used to provide as a document loader and chunking. Please find a RAG sample that uses DI below -
https://github.com/microsoft/Form-Recognizer-Toolkit/blob/main/SampleCode/Python/sample_rag_langchain.ipynb

@dicktangdev commented on GitHub (May 26, 2024): Hi @timothycarambat, Thanks for your reply. Yes, the Azure document intelligence(DI) is a standalone service and can be used to provide as a document loader and chunking. Please find a RAG sample that uses DI below - https://github.com/microsoft/Form-Recognizer-Toolkit/blob/main/SampleCode/Python/sample_rag_langchain.ipynb
yindo changed title from [FEAT]: Add Azure Document Intelligence for indexing to [GH-ISSUE #1527] [FEAT]: Add Azure Document Intelligence for indexing 2026-06-05 14:38:17 -04:00
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Reference: Mintplex-Labs/anything-llm#982