AI-based Semantic Search Development Services

Get more accurate search results with AI-based Semantic search. With the help of context and intent relevance using NLP and ML.


Use Cases of AI-based Semantic Search

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Product Discovery

Present your customers with more relevant product suggestions that they are most likely to buy. Let AI-based semantic search drive higher engagement and conversion rates for your store.
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Query Answering

Whether it’s finding quick solutions to or accessing in-depth knowledge on complex topics, our Semantic Search technology empowers users to obtain the information they need quickly and efficiently
Brand Exposure

Content Recommendations

Our AI-powered Semantic Search solutions analyze user behaviour, preferences, and content semantics to deliver personalized recommendations that captivate and delight your audience.
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Search Engines

AI-driven Semantic Search solutions understand the semantics and context of user queries, enabling more precise and contextually relevant search results.
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Academic Research

Navigating the vast sea of academic literature can be daunting, often resulting in information overload. Our AI-powered Semantic Search solutions harness the power of natural language to help users discover relevant papers with ease.
Customer Support

Customer Support

Our Semantic Search development services leverage AI algorithms to understand the intent and context behind customer inquiries, allowing your support agents or chatbots to deliver relevant responses.

Industries using Custom LLM’s

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AI-based Semantic Search for E-commerce

Upgrade your eCommerce store with better Product search by understanding the intent behind the user’s query. Semantic search can take into account synonyms, related terms, and context to provide more relevant search results. Semantic search understands what users mean, even if they don’t use the perfect words.

AI-based Semantic Search for E-commerce
AI-based Semantic Search for Content Platforms

AI-based Semantic Search for Content Platforms

Recommending relevant articles, blog posts, videos, or other content based on the meaning of the user’s query rather than just keyword matching. Semantic search can understand the context of the content and the user’s interests to provide more accurate recommendations.

AI-based Semantic Search for Academic Research

Assisting researchers in finding relevant papers, studies, and academic resources. Semantic search considers the bigger picture of a research topic, connecting them to related works so they can stay up-to-date quicker.

AI-based Semantic Search for Academic Research
AI-based Semantic Search for Customer Support

AI-based Semantic Search for Customer Support

Get the answers you need without waiting on hold! Semantic search understands your questions and uses past conversations and knowledge bases to provide the best solutions or answers straightaway.

AI-based Semantic Search for Recruitment

Hiring the right person just got simpler. Semantic search analyzes job descriptions and resumes to find the best matches based on skills and experience, not just keywords on paper.

AI-based Semantic Search for Recruitment
AI-based Semantic Search for ERP

AI-based Semantic Search for ERP

Optimizing business processes by providing more accurate and relevant search results within ERP systems. Semantic search can help users find the right information across various modules such as finance, human resources, and supply chain management by understanding the context and relationships between different data points.

AI-based Semantic Search for CRM

CRM Systems can make customer interactions even better by understanding the context and sentiment behind customer communications. Semantic search can help in identifying customer needs, preferences, and potential issues. This leads to more personalized and effective customer service and marketing strategies.

AI-based Semantic Search for CRM

Technologies used for AI-based Semantic Search

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Vector Search

Vector search finds results using Approximate Nearest Neighbour (ANN) algorithms. This is faster and yields better search results compared to traditional keyword matching searching techniques.
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Large Language Models (LLM’s)

LLM’s are great at understanding context and user intent from plain human language and use that to execute tasks at hand. In Semantic Search, LLM’s are used to match
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Machine Learning

Our AI-powered Semantic Search solutions leverage machine learning to continuously learn from user interactions, refining search algorithms to improve search accuracy and relevance over time.
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Natural Language Processing (NLP)

NLP has made it easier for computers to understand plain human language. This comes very handy when a user is trying to search something, or ask any queries.
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Graph-Based Search

Navigating the vast sea of academic literature can be daunting, often resulting in information overload. Our AI-powered Semantic Search solutions harness the power of natural language to help users discover relevant papers with ease.
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Retrieval Augmented Generation (RAG)

With the help of RAG, LLM’s can present searched data blended seamlessly with AI Generated content. This makes the search results more understandable and engaging.

Testimonial

“The combination of this fixed rate plugin and vendor marketplace plugin perfectly meets our needs that simplified buyer’s shipping fee calculation. Just it will be even greater if Webkul could provide calculated fee per vendor on shipping cart and with API.”

Reviewed by1517573861348
Casper Wang

Director Of Development

HTC Vive

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