azure-search-vector-samples
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Azure
A repository of code samples for Vector search capabilities in Azure AI Search.
For our use case, we are ingesting long documents and audio transcripts. The amount of text we're starting with exceeds the 8K limit of the Ada embedding model. So we...
Could not execute skill because the Web Api request failed - Enrichment.AzureOpenAIEmbeddingSkill.#2
I am trying to run the notebook azure-search-integrated-vectorization-sample.ipynb, but when I run the code under "Create an indexer" I get the error message: ``` Web Api response status: 'NotFound', Web...
**Description:** During the implementation of the llama index with Azure OpenAI for fine-tuning, the following error occurred: ``` Retrying llama_index.llms.openai.base.OpenAI._chat in 0.6394267984578837 seconds as it raised NotFoundError: Error code: 404...
Hello @farzad528 We have properly created indexes, indexers, data sources and skillsets and the indexers are working properly and we get document chunks in the index. However we get this...
Hi, I'm following **python Azure AI Search integrated vectorization sample** with exact same configuration. The indexer creation step failed with **Operation**: "Enrichment.AzureOpenAIEmbeddingSkill.#2" **Message** "Could not execute skill because the Web...
HttpResponseError: () The request is invalid. Details: The property 'content' does not exist on type 'search.documentFields'. Make sure to only use property names that are defined by the type. Code:...
How can I make the vector store contains the page number and source of the content in metadata(able to get the title which is pdf's name), can some help me...
