Azure AI Search
An Azure search service with built-in artificial intelligence capabilities that enrich information to help identify and explore relevant content at scale.
992 questions
How can I perform vector ("vector" | "vectorSimpleHybrid" | "vectorSemanticHybrid") search of documents using the OpenAI chat completions?
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Eric Macia
0
Reputation points
I am working on a system to conversationally search documents.
The user inputs a query and they get a response with a set of citations from where the information was extracted from. This information is searched from an Azure container that has all the documents that the user can search from. These are indexed, chunked and vectorized using the Azure Search Service, and then queried using the chat completions from @azure/openai SDK for JS (currently on version 1.0.0-beta.11).
Currently, I can only run "simple" or "semantic" queries that will return correctly. However whenever I try to run queries of types "vector", "vectorSimpleHybrid" or "vectorSemanticHybrid", the getChatCompletions(model, messages, options) function fails with the following error message:
This is the configuration of the options for the chat completion, queryType :
{count} votes
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brtrach-MSFT 16,271 Reputation points Microsoft Employee2024-04-13T01:22:04.64+00:00 @Eric Macia To perform vector search using OpenAI chat completions, you need to make sure that your documents are vectorized using the OpenAI GPT-3 model. You can use the
getEmbeddingsmethod of the OpenAI API to get the embeddings for a given prompt. Once you have the embeddings for your documents, you can use thesearchmethod of the OpenAI API to perform vector search.The error message "Invalid azure openAI configuration detected: invalid embedding endpoint or deployment" indicates that there is an issue with the configuration of your OpenAI API. Specifically, the embedding endpoint or deployment that you are using is invalid.
Can you please verify you are using the correct embedding endpoint?
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