Search That Understands What You Actually Mean
Semantic search engine powered by vector embeddings and LLMs that understands intent, context, and meaning — not just keywords. Transform how users find information in your platform.
Support tickets related to "can't find X"
Search result click-through rates
Time-to-answer for complex queries
Average search response time
Support tickets related to "can't find X"
Search result click-through rates
Time-to-answer for complex queries
Average search response time
// The Challenge
What We Were Solving
Traditional keyword search fails when users don't know exact terminology. SaaS platforms with large content libraries see poor discovery rates, high support tickets, and frustrated users who can't find what they need.
// Our Approach
How We Built It
Implemented vector embedding pipeline using OpenAI embeddings + Pinecone for semantic similarity search
Built RAG (Retrieval-Augmented Generation) layer that combines search results with LLM-powered answer synthesis
Added intent detection to understand whether users want a specific document, a how-to guide, or a conceptual explanation
Created hybrid search combining semantic vectors with traditional full-text search for best-of-both-worlds results
// Key Features
What We Delivered
- Semantic search with vector embeddings
- RAG pipeline for conversational search answers
- Intent detection and query classification
- Hybrid search: semantic + keyword for comprehensive results
- Faceted filtering with AI-suggested refinements
- Analytics dashboard: search queries, zero-result queries, click patterns
// Technology Stack
Built With
// Related Service
AI/ML Development
AI/ML Development & Integration
Custom AI systems built for your domain — not wrappers around ChatGPT. We develop production-grade models, RAG pipelines, and intelligent features that give you a real competitive edge.
Learn More// Results
Measurable Impact
Support tickets related to "can't find X"
Search result click-through rates
Time-to-answer for complex queries
Average search response time
// Related Use Cases
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