marcominerva/SqlDatabaseVectorSearch
A Blazor Web App and Minimal API for performing RAG (Retrieval Augmented Generation) and vector search using the native VECTOR type in Azure SQL Database and Azure OpenAI.
This application helps you build a system that can answer questions based on your own documents. You provide various files like PDFs or Word documents, and the system processes them to generate answers with clear citations. This is ideal for anyone who needs to quickly get answers from large amounts of internal or specialized information.
135 stars.
Use this if you need to create a searchable knowledge base or a chatbot that can answer questions using your specific document collection, providing traceable sources for its responses.
Not ideal if you're looking for a simple, off-the-shelf chatbot solution without needing to integrate with Azure SQL Database or Azure OpenAI for custom data.
Stars
135
Forks
37
Language
C#
License
MIT
Category
Last pushed
Feb 27, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/marcominerva/SqlDatabaseVectorSearch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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