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.
Course Content
17 modules • 17 lessons
1
Course Introduction
1 lessons2
Module 1: What Are Vector Databases?
1 lessons3
Module 2: Embeddings - Turning Text Into Numbers
1 lessons4
Module 3: Similarity Search Explained
1 lessons5
Module 4: The Vector Database Landscape
1 lessons6
Module 5: Setting Up Pinecone
1 lessons7
Module 6: Setting Up pgvector (PostgreSQL)
1 lessons8
Module 7: Setting Up Chroma (Local/Free)
1 lessons9
Module 8: Indexing Strategies
1 lessons10
Module 9: Querying and Filtering
1 lessons11
Module 10: Metadata and Hybrid Search
1 lessons12
Module 11: Performance Optimization
1 lessons13
Module 12: Scaling Considerations
1 lessons14
Module 13: Cost Comparison
1 lessons15
Module 14: Choosing the Right Database
1 lessons16
Module 15: Integration with LangChain & AI SDK
1 lessons17
Course Conclusion
1 lessonsSign in to leave a review
