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vector-database-ops

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Deploy, manage, and optimize vector databases for AI applications. Covers Qdrant, Weaviate, pgvector, and Pinecone — collection management, indexing strategies, backup, and performance tuning for production RAG and semantic search workloads.

When to use

• Setting up a vector database for a RAG or semantic search application
• Choosing between Qdrant, Weaviate, pgvector, or Pinecone
• Managing collections, indexes, and data migrations
• Optimizing query performance and indexing for production loads
• Implementing multi-tenant vector search with namespace isolation

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