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In this comprehensive tutorial, we'll compare two popular vector database solutions for AI applications: PostgreSQL with pgvector extension and MongoDB Atlas Vector Search. Using a real-world financial Q&A dataset, we'll explore which database might be better suited for your AI workloads.
⚡️ What You'll Learn:
📚 Implementation of RAG (Retrieval Augmented Generation) systems
📚 Vector similarity search in both PostgreSQL and MongoDB
📚 Performance benchmarking and analysis
📚 Practical deployment considerations