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Integrate with Azure AI Search (vectorDB) #6749

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trungtly opened this issue Jan 16, 2024 · 5 comments
Closed

Integrate with Azure AI Search (vectorDB) #6749

trungtly opened this issue Jan 16, 2024 · 5 comments
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2.x Related to Haystack v2.0 P2 Medium priority, add to the next sprint if no P1 available type:feature New feature or request

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@trungtly
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trungtly commented Jan 16, 2024

Is your feature request related to a problem? Please describe.
Integrate with Azure AI Search (formerly known as Azure Cognitive Search) as a vectorDB
Llamaindex: https://docs.llamaindex.ai/en/stable/examples/vector_stores/CognitiveSearchIndexDemo.html
Langchain: https://python.langchain.com/docs/integrations/vectorstores/azuresearch

Describe the solution you'd like
Azure AI Search is fundamentally a vectorDB with its own default embedder.

Additional context
Useful for enterprise use cases that rely on Azure ecosystem.

@masci masci added type:feature New feature or request 2.x Related to Haystack v2.0 labels Jan 24, 2024
@isfuku
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isfuku commented Mar 23, 2024

Can you assign this to me? I already have an implementation for the document store following the protocol, and the retrievers. I closely followed the OpenSearch implementation.

@cjayb-norlys
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hey there, is there an update on this? +1 to the OP point on "enterprise use case" :)

@touhi99
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touhi99 commented Jun 20, 2024

+1 if any update on it? high demanding with Azure-stack RAG system in enterprise :)

@mrm1001 mrm1001 added P1 High priority, add to the next sprint P2 Medium priority, add to the next sprint if no P1 available and removed P1 High priority, add to the next sprint labels Jun 24, 2024
@chethanuk
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image

+1

@Amnah199
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Closing this issue as it is being tracked in #950.

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Labels
2.x Related to Haystack v2.0 P2 Medium priority, add to the next sprint if no P1 available type:feature New feature or request
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