Crafting a hybrid geospatial RAG application with Elastic and Amazon Bedrock

This post details the creation of a hybrid geospatial RAG application using Elasticsearch and Amazon Bedrock. It highlights Elasticsearch's capabilities in combining lexical, geospatial, and vector search within a single query. The application leverages Elasticsearch for storing and querying geospatial and vector data, Amazon Bedrock for LLM integration and entity extraction, and AWS Location Service for geocoding. This demonstrates a practical application of advanced search techniques for generative AI.