How To Guide: Vector Search

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

Re-index your existing search index with vector embeddings
Author a pipeline that powers vector + lexical search
Build a search UI with Studio and connect it to your pipeline

Vector Search How-to hero

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

ReactiveSearch Features Used

Pipelines

Pipelines

Build versatile search workflows combining vector and lexical search.

Studio

Build and publish search UIs with no-code and connect to pipelines.

AI Search

Leverage embeddings to power relevance via vector similarity.

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

Indexing script is available over at appbaseio/ai-scripts.

Step 2: Author the pipeline (search backend)

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

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