How To Guide: Vector Search

ReactiveSearch for vector search in action: ✅ Use ReactiveSearch CLI util to convert your search index to add vector embeddings ✅ Configure a search pipeline for vector search ✅ Add an AI Answer on top hits (optional) ✅ Build a search UI that connects to the pipeline

HireCloud uses to deliver relevant search to HR professionals

Interactive demo of the AI Vector Search UI that we will build in the following steps

ReactiveSearch Features Used


Power the most demanding search workflows with a declarative authoring format

Studio with offline editing

Build and publish search UIs with no-code and low-code, powered by the ReactiveSearch UI kit

Vector Search

Drive AI discovery with vector search, aka KNN search or semantic search

Step 1: Starting with an existing search index, this step uses the vector indexing script to re-index the data with vector embeddings added. Works with an Elasticsearch or OpenSearch index

A hosted replit for the indexing script is available over here

Step 2: Author the pipeline (search backend)

Step 3: Build the search UI, connect to pipeline and deploy

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