An end-to-end example using .NET / C# to:
- Use Azure OpenAI to create embeddings / vector representation of information.
- Store the embeddings / vector representation in Redis as
HashSet
- Create a Redis Stack search index to semantically query the embeddings
- Query the embeddings using Redis Stack vector search functionality
A Azure CLI script to create all components to run the sample application. Including:
- Azure Resource Group
- Azure OpenAI Cognitive Service instance
text-embedding-ada-002
model deployment- Redis Stack container executed on Azure Container Instance