Workshop: Searching document data with Redis, JSON, and vector-similarity

Build a semantic-search application using Redis in this hands-on workshop. Learn how to use Redis with JSON and search capabilities, and as a vector database for vector similarity search. Sample GitHub repo and documentation available at https://github.com/redis-developer/redis-bike-co

https://redis.com/redisdays/india/
Sign up for Redis Cloud for free (https://redis.info/3pyzVea)
https://redis.com/solutions/industries/financial-services/
https://redis.com/solutions/use-cases/fraud-detection/

00:00:00 Introduction
00:01:35 Introducing Redis Stack
00:02:11 Data Model Overview
00:08:20 Project GitHub and Setup
00:13:51 Viewing the Data with RedisInsight
00:19:50 Working with JSON documents
00:21:11 Tutorials in RedisInsight
00:22:41 Redis Commands for JSON document manipulation
00:35:12 Introducing Search with JSON documents
00:44:14 Searching JSON documents from RedisInsight
01:01:25 Storing and Searching JSON documents from a Python application
01:12:48 Search with JSON Summary
01:13:26 Introducing Vector Similarity Search
01:20:03 What are Vectors?
01:23:57 Vector Embeddings
01:28:09 Vector Databases
01:29:18 Redis as a Vector Database
01:32:04 Vector Similarity Demo with Python
01:55:59 Semantic Queries
01:57:21 Visualizing Embeddings and Constructing Queries
02:03:51 Hybrid Queries
02:05:56 Range Queries
02:08:23 Running Queries and Visualizing Results
02:10:12 Vector Similarity Recap