ReactiveSearch Pipelines
Power the most demanding search workflows with a declarative authoring format.
Knowledge Graph
Pipeline to merge Google Knowledge Graph response with Elasticsearch’s response
Saved Search
Pipeline to save user searches to a separate Elasticsearch index. Use this as a reference for how to add any kind of side-effects to a search query
kNN Search
Pipeline to show kNN / vector search on an Elasticsearch index
User authorization
Pipeline showing how to handle user authorization effectively, i.e. non-authorized requests will get a 401 and only authorized requests return search results
Search with MongoDB
Pipeline to use MongoDB as a search engine backend
Search with Solr
Pipeline to use Solr as a search engine backend
Indexing Pipeline
Pipelines can also used at the time of indexing data. This pipeline uses JavaScript to enrich the indexing data with location details
Indexing Pipeline for kNN
Pipeline uses a CLIP model to add vectors for certain fields
Features
Declarative: Config as code
JSON (or YAML) based definition. Define custom JavaScript stages easily.
Author using your favorite IDE and Github
Use Github for authoring pipelines. Use our Github action to deploy on each commit.
One-click deploy
Use our gallery and deploy pipelines with a single click to your own cluster.
Over 20 pre-defined stages
From authorization, analytics, caching, search relevance to search engine connectors, leverage pre-defined stages to quickly author a pipeline from scratch
DE features
Use the [ReactiveSearch.io](http://ReactiveSearch.io) dashboard for autocompletion, get realtime validation feedback and test pipelines end-to-end with user requests.
