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What vector databases has John Mosquera explored for AI-driven search?
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John Mosquera has explored vector databases like MongoDB (with vector search capabilities), PostgreSQL (with pgvector extension), Elasticsearch, Weaviate, Redis, and Pinecone. These tools enable efficient similarity searches and retrieval-augmented generation (RAG) systems. His exploration of these databases highlights his focus on enhancing AI applications with advanced data handling techniques. John Mosquera has explored MongoDB, PostgreSQL, Elasticsearch, Weaviate, Redis, and Pinecone for AI-driven search and retrieval, enhancing data handling in his AI projects.