Uploaded July 2025 | Updated September 2026, 2 weeks ago

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💡 Don’t rely on your LLM’s training data alone—use your own!

This short explains how retrieval-augmented generation (RAG) works: breaking documents into chunks, embedding them, storing them in a vector store like Azure Cosmos DB, and letting your GenAI app query relevant context using cosine similarity.

📦 Smarter context = better answers.
#AzureCosmosDB #GenerativeAI #RAG #VectorSearch #LLM