Vector Search in Azure Cognitive Search using Langchain | azure openai | embeddings | openai | llms

Learn about vector search in Azure Cognitive Search using Langchain and Azure Open AI! In this tutorial, we'll learn about how to use Langchain and Azure Open AI to perform vector search in Azure Cognitive Search.

Vector search in azure cognitive search
Azure machine learning service
Azure machine learning studio
How to create embeddings using azure open ai
Using text-embedding-ada-002 model to create embeddings.
Retrieval Augmented Generation (RAG)
How does google and youtube search work
Approximate nearest neighbor
k nearest neighbor
Model catalog
Azure cognitive search
Vector support for azure cognitive search
Azure OpenAI vector embedding.
Langchain Framework
Azure OpenAI vector
Clustering algorithm
Transformer

[zxtfptg]

wat perfect and simple example, thanks

[thedivinerscult]

Nice tutorial! Could you make a part 2 for endpoint deployment so that one could make HTTP requests to send queries to the script?

[vincentangelolarisma]

Nice video! really learned a lot, is the notebook available online?

[venkateshsriramdas]

Hi, i tried same but getting error now.

vector_store: AzureSearch = AzureSearch(
azure_search_endpoint=vector_store_address,
azure_search_key=vector_store_password,
index_name=index_name,
embedding_function=embeddings.embed_query,
)

when I am running this snippet getting below error.

vector_search_configuration is not a known attribute of class <class and will be ignored

ImportError: cannot import name from

can you please help me with the versions of azure-search-documents and langchain you are using?

[mpalaourg]

Hey very interesting work with lots of uses! I have a question. The cognitive search compute the vector similarity between a "query" and a "source". In the image shown, "source" and "query" don't have to be the same modality; "query" can be text and "source" can be a video file. Does that mean that the produced embeddings from those two are directly comparable? or the query_emb and source_emb must be generated by the same model? In other terms my question is: can I search a query_emb (given from a textual model) over a source_emb (generated from a visual model)?

[shaikshavalivali]

I have one doubt dose Azure cognitive service provides vector database service too or not? Please help me