Vector Databases: The Foundation of AI Apps
IntermediateAssumes foundational knowledge. Builds on basics.
Master vector databases for AI applications. Learn embeddings, similarity search, and hands-on setup of Pinecone, pgvector, and Chroma. Understand indexing strategies, hybrid search, performance optimization, and how to choose the right database for your use case.
Conteúdo do Curso
17 módulos • 17 aulas
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Course Introduction
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Module 1: What Are Vector Databases?
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Module 2: Embeddings - Turning Text Into Numbers
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Module 3: Similarity Search Explained
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Module 4: The Vector Database Landscape
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Module 5: Setting Up Pinecone
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Module 6: Setting Up pgvector (PostgreSQL)
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Module 7: Setting Up Chroma (Local/Free)
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Module 8: Indexing Strategies
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Module 9: Querying and Filtering
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Module 10: Metadata and Hybrid Search
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Module 11: Performance Optimization
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Module 12: Scaling Considerations
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Module 13: Cost Comparison
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Module 14: Choosing the Right Database
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Module 15: Integration with LangChain & AI SDK
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Course Conclusion
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