From Full-Text to Vector Search: Modern Search Architectures for Java Applications
summary
Covers how Java applications can evolve from classic full-text search to semantic retrieval using vector embeddings, RAG, and agentic AI patterns. Explains combining lexical and semantic methods and building architectures with MongoDB Atlas Search to power AI-driven assistants and intelligent search experiences.
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chapters (10)
- 0:00Introduction
- 1:34Search evolution
- 4:02Lexical vs semantic
- 7:55Vector search
- 9:19Hybrid retrieval
- 12:13MongoDB as platform
- 15:51RAG retrieval
- 19:05Java architecture
- 20:49Key takeaways
- 22:34Q&A
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