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@ecfjs/search

v1.0.0-rc.2

Published

ECF search platform with vector embeddings, full-text search, faceting, and ReRanker pipeline

Downloads

159

Readme

@ecfjs/search

Enterprise Search Platform for ECF (Enterprise Core Framework).

Features

  • 3-Layer Search Architecture: SearchManager -> SearchEngine -> Indexer & QueryEngine -> Drivers.
  • Multi-Driver Engine: Memory, Null, Database (SQL), Meilisearch, Typesense, Elasticsearch.
  • Dynamic Plugin Registry: Register custom drivers via Search.extend().
  • Search Middleware Pipeline: Extensible query processing stages (Normalize, Tokenizer, Synonym, Stemmer, SpellCorrector, QueryExpander, Ranker, Highlight).
  • Ranking Engine: Field weight boosting (.boost("title", 10)).
  • Aggregations & Faceting: Field aggregations (avg, max, min, sum, count) and facets.
  • Index Aliases & Blue-Green Indexing: Zero downtime index alias swapping (products_v1, products_v2 -> products).
  • Scout-style Automatic Model Indexing: Searchable trait for automatic model syncing via @ecfjs/queue.
  • Suggestions Engine: Autocomplete, trending, and popular searches (Search.suggest()).
  • Search DSL: Elastic-style query objects (Search.dsl({...})).
  • Driver Capability Matrix: driver.capabilities().
  • Real-Time Broadcast Progress: Live progress events (40% -> 60% -> 100%) via @ecfjs/broadcast.
  • DevTools Panel: Horizon-style telemetry.
  • Testing Fake: Rich assertions with Search.fake().

Usage

import { Search, Searchable } from "@ecfjs/search";

// Querying
const results = await Search.index("products")
  .query("iphone")
  .where("brand", "apple")
  .boost("title", 5)
  .facet(["category"])
  .aggregate("price", "avg")
  .withCache(300)
  .get();

// Model Integration
class Product extends Model {
  use(Searchable);

  searchableAs() {
    return "products";
  }
}

const product = new Product({ title: "iPhone 16 Pro" });
await product.save(); // Automatically indexed via Queue!