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.
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Success Story
Customer Success Story
Arcos enhanced product presentation with Webkul’s solutions, improving how customers explored and understood product details.
Palmarosa improved catalog findability with Webkul’s AI tools, generating multilingual content for better search results.
CPP Brand adopted Webkul’s AI service to create SEO-rich product content, boosting semantic search and online visibility.
Use Cases of AI-based Semantic Search
Product Discovery
Query Answering
Content Recommendations
Search Engines
Academic Research
Customer Support
Industries using Custom LLM’s
Column Layout
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 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 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 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.
Technologies used for AI-based Semantic Search
Vector Search
Large Language Models (LLM’s)
Machine Learning
Natural Language Processing (NLP)
Graph-Based Search
Retrieval Augmented Generation (RAG)
Client 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.”
Director Of Development
HTC
