Скачать или смотреть Mosaic AI Vector Search – Semantic Search on Databricks (GenAI Course – 5)

This is *GenAI Course – Video 5* on VectorMind Academy.

In this video, we give a *summary-level explanation* of *Mosaic AI Vector Search* and how it helps you build semantic search and RAG on Databricks.

🎯 Goal of this video
Not a full configuration or notebook walkthrough.
By the end, you should understand:
• What Mosaic AI Vector Search does in simple terms
• How it connects to your data and embeddings
• How semantic search differs from keyword search
• Where Vector Search fits in a RAG / GenAI pipeline on Databricks

💡 How to use this video
• Use it to see the big picture of Vector Search
• Then open the official Databricks examples to dive into the APIs
• Try to imagine one use case in your own work where semantic search helps more than normal search

🔁 Week 1 – Generative AI Solution Development (summary series)
1️⃣ Prompt Engineering Primer
2️⃣ Introduction to RAG
3️⃣ Preparing Data for RAG Solutions
4️⃣ Introduction to Vector Stores
5️⃣ Mosaic AI Vector Search ✅ (this video)
6️⃣ MLflow for RAG Applications
7️⃣ Evaluating a RAG Application & Continual Learning

If this summary helped you understand Mosaic AI Vector Search, like the video and continue with Course 6. 🚀

#databricks #mosaicaI #vectorsearch #rag #generativeai #llm #aicourse #VectorMindAcademy