🔍 Semantic Search

Semantic searching, which involves understanding the intent and contextual meaning behind search queries, is yet another popular use-case of RAG. It has several popular use cases across various domains:

• Information Retrieval: Enhances search accuracy in databases and websites
• E-commerce: Improves product discovery in online shopping
• Customer Support: Powers smarter chatbots for effective responses
• Content Discovery: Aids in finding relevant media content
• Knowledge Management: Streamlines document and data retrieval in enterprises
• Healthcare: Facilitates medical research and literature search
• Legal Research: Assists in legal document and case law search
• Academic Research: Aids in academic paper discovery
• Language Processing: Enables multilingual search capabilities

EmbedJs offers a simple yet customizable search() API that you can use for semantic search. See the example in the next section to know more.

Example: Semantic Search over Next.JS Website + Forum

Step 1: Set Up Your RAG Pipeline

First, let’s create your RAG pipeline. Open your NodeJs application and add the following code:

Create pipeline

import { RAGApplicationBuilder } from '@llm-tools/embedjs';

import { OpenAiEmbeddings } from '@llm-tools/embedjs-openai';

import { HNSWDb } from '@llm-tools/embedjs-hnswlib';



const app = await new RAGApplicationBuilder()

.setModel(SIMPLE_MODELS.OPENAI_GPT4_O)

.setEmbeddingModel(new OpenAiEmbeddings())

.setVectorDatabase(new HNSWDb())

.build();

This initializes your application.

Step 2: Populate Your Pipeline with Data

Now, let’s add data to your pipeline. We’ll include the Next.JS website and its documentation:

Ingest data sources

import { SitemapLoader } from '@llm-tools/embedjs-loader-sitemap';



//Add Next.JS Website and docs

app.addLoader(new SitemapLoader({ url: "https://nextjs.org/sitemap.xml" }))



//Add Next.JS Forum data

app.addLoader(new SitemapLoader({ url: "https://nextjs-forum.com/sitemap.xml" }))

This step incorporates over 15K pages from the Next.JS website and forum into your pipeline. For more data source options, check the EmbedJs data sources overview.

Step 3: Local Testing of Your Pipeline

Test the pipeline on your local machine:

Search App

app.search("Summarize the features of Next.js 14?")

/*[

  {

    'score': 0.99,

    'pageContent': 'Next.js 14 | Next.jsBack to BlogThursday, October 26th 2023Next.js 14Posted byLee Robinson@leeerobTim Neutkens@timneutkensAs we announced at Next.js Conf, Next.js 14 is our most focused release with: Turbopack: 5,000 tests passing for App & Pages Router 53% faster local server startup 94% faster code updates with Fast Refresh Server Actions (Stable): Progressively enhanced mutations Integrated with caching & revalidating Simple function calls, or works natively with forms Partial Prerendering',

    'metadata': {

      'id': '6c8d1a7b-ea34-4927-8823-daa29dcfc5af',

      'uniqueLoaderId': '6c8d1a7b-ea34-4927-8823-xba29dcfc5ac',

      'source': 'https://nextjs.org/blog/next-14'

    }

  },

  {

    'score': 0.98,

    'pageContent': 'Next.js 13.3 | Next.jsBack to BlogThursday, April 6th 2023Next.js 13.3Posted byDelba de Oliveira@delba_oliveiraTim [e-mail] 13.3 adds popular community-requested features, including: File-Based Metadata API: Dynamically generate sitemaps, robots, favicons, and more. Dynamic Open Graph Images: Generate OG images using JSX, HTML, and CSS. Static Export for App Router: Static / Single-Page Application (SPA) support for Server Components. Parallel Routes and Interception: Advanced',

    'metadata': {

      'id': '6c8d1a7b-ea34-4927-8823-daa29dcfc5a1',

      'uniqueLoaderId': '6c8d1a7b-ea34-4927-8823-xba29dcfc5ae',

      'source': 'https://nextjs.org/blog/next-13-3'

    }

  },

  {

    'score': 0.98,

    'pageContent': 'Upgrading: Version 14 | Next.js MenuUsing App RouterFeatures available in /appApp Router.UpgradingVersion 14Version 14 Upgrading from 13 to 14 To update to Next.js version 14, run the following command using your preferred package manager: Terminalnpm i next@latest react@latest react-dom@latest eslint-config-next@latest Terminalyarn add next@latest react@latest react-dom@latest eslint-config-next@latest Terminalpnpm up next react react-dom eslint-config-next -latest Terminalbun add next@latest',

    'metadata': {

      'id': '6c8d1a7b-ea34-4927-8823-daa29dcfc5a2',

      'uniqueLoaderId': '6c8d1a7b-ea34-4927-8823-xba29dcfc5ad',

      'source': 'https://nextjs.org/docs/app/building-your-application/upgrading/version-14'

    }

  }

]*/

The source key contains the url of the document that yielded that document chunk.

If you are interested in configuring the search further, refer to our API documentation.

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This guide will help you swiftly set up a semantic search pipeline with EmbedJs, making it easier to access and analyze specific information from large data sources.

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