Crafting a hybrid geospatial RAG application with Elastic and Amazon Bedrock

What this post added

This post introduces a hybrid geospatial RAG application architecture that combines lexical search, geospatial queries, and vector similarity search within Elasticsearch. It details the implementation steps, including named entity recognition using Amazon Bedrock, geocoding with Amazon Location Service, and a unified hybrid query in Elasticsearch. The post provides code snippets and architectural diagrams to illustrate the process.