Financial analysis system that uses Azure AI Search for vector embeddings + Azure OpenAI for intelligent query processing. This system processes SEC EDGAR 10-K filings, creates searchable vector embeddings in Azure AI Search, and provides intelligent answers to complex financial questions
A minimal project to understand how cosine similarity works in a vector database 🧠📊. It demonstrates semantic search by converting text into embeddings and comparing them using vector math.
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