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.
Contenido del Curso
17 módulos • 17 lecciones
1
Course Introduction
1 lecciones2
Module 1: What Are Vector Databases?
1 lecciones3
Module 2: Embeddings - Turning Text Into Numbers
1 lecciones4
Module 3: Similarity Search Explained
1 lecciones5
Module 4: The Vector Database Landscape
1 lecciones6
Module 5: Setting Up Pinecone
1 lecciones7
Module 6: Setting Up pgvector (PostgreSQL)
1 lecciones8
Module 7: Setting Up Chroma (Local/Free)
1 lecciones9
Module 8: Indexing Strategies
1 lecciones10
Module 9: Querying and Filtering
1 lecciones11
Module 10: Metadata and Hybrid Search
1 lecciones12
Module 11: Performance Optimization
1 lecciones13
Module 12: Scaling Considerations
1 lecciones14
Module 13: Cost Comparison
1 lecciones15
Module 14: Choosing the Right Database
1 lecciones16
Module 15: Integration with LangChain & AI SDK
1 lecciones17
Course Conclusion
1 lecciones
