Learn how to build natural language and semantic search with OpenSearch, including vector search, embeddings, RAG, and efficient retrieval using JVector. Includes a live demo running small language models locally and advanced OpenSearch features.
00:00 Introduction & Agenda
00:29 What is OpenSearch?
01:04 Keyword Search & TF-IDF
02:50 Semantic Search & Embeddings
04:00 Tokenization & Vector Representations
06:27 Vector Databases & Scaling
07:34 JVector Plugin Overview
08:20 Live Demo: Local LLM & RAG
11:09 Filters & Aggregations in OpenSearch
13:16 Advanced Queries & Metadata Search
14:27 The Percolator Pattern
15:29 Closing Thoughts