- Compute vectors for your text data and add a "vector" field to each Cosmos DB item. You can automate this with an Azure AI pipeline.
- After computing the vectors for your text data, you can add a "vector" field to each item in your Cosmos DB documents. This field should store the vector representation of the text data
- Regarding Cognitive Search Indexer, Azure Cognitive Search is primarily designed for full-text indexing and search, and it may not natively support multiple vectors per item or vector search. To achieve semantic search with multiple vectors, you might need to implement a custom solution that leverages the computed vectors and performs similarity search.
Find below the official documentation for more info
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