Currently looking at document RAG using Semantic Kernel for my company at work but we use locally hosted instances of our databases when not in production and SSMS doesn't seem to have Vector support yet. Is there any decent way to get around this for now or will I have to wait until an update for support to be added?
#Have there been any announcements for when SQL Server Management Studio will get Vector support?
clever bluff
red bone
Currently looking at document RAG using Semantic Kernel for my company at work b...
Have a look over here - https://github.com/microsoft/ai-agents-for-beginners/tree/main/05-agentic-rag/code_samples
clever bluff
Thanks for the response but none of this looks to be related directly to SQL or SSMS. We don't use Azure AI search or ChromaDB.
This is the issue I'm talking about:
red bone
While native vector search within SSMS is currently unavailable, you can still implement RAG with Semantic Kernel using a local vector database and connecting it to your SQL Server instance. This approach involves using a third-party vector database like Pinecone, Weaviate, or ChromaDB, which you can run locally. You can then use Semantic Kernel to connect these databases to your Semantic Kernel application.
