NEURAL HYBRID SEARCH
Hybrid Search That Actually Works at Enterprise Scale
Most hybrid search solutions promise better relevance by combining keyword and vector search. In practice, many fall short. Results are inconsistent, data is stale, and AI outputs lack accuracy. Lucidworks Neural Hybrid Search is different.
It orchestrates lexical search, semantic search, vector retrieval, behavioral signals, and AI reasoning into a single, unified system that delivers precision, trust, and measurable business impact.
See Neural Hybrid Search in Action
Where keywords meet context.
Neural Hybrid Search uses deep learning to combine the best semantic and keyword search models, delivering intelligent search results that understand what you’re searching for—and why. Unlike other solutions, we harmoniously blend out-of-the-box functionality with deep customization for custom-trained embedding models, LLMs, and AI models tailored to your needs.
Meet Your AI Orchestration Engine
Supercharge your search with the features that redefine relevance.
Hybrid search technology
Why choose when you can have both? Seamlessly blends semantic and keyword search models for unparalleled accuracy.
Neural network search
The brain behind the brilliance. Harness the power of neural networks to understand the nuances of language and data.
AI-powered search precision
No more guesswork. Put deep learning to work to understand user intent and deliver hyper-relevant results.
Intelligent search results
Answers, not just links. Go beyond keyword matching and deliver contextual, insightful search experiences.
Vector search engine
Data in its most intelligent form. Transform your data into vectors for lightning-fast, semantic search.
Advanced search algorithms
Always ahead of the curve. Stay ahead with cutting-edge algorithms that continuously learn and adapt.
Get to Know the Lucidworks Platform
See Neural Hybrid Search in action with New Pig, a leading industrial solutions provider. In this quick demo, our solutions engineer shows how the powerful blend of semantic understanding and keyword precision delivers exactly what customers need—whether they’re searching by specific product codes or describing their spill containment challenges in natural language. Watch how this technology intelligently interprets search intent to provide hyper-relevant results, dramatically improving the customer experience while boosting conversion rates.
Neural Hybrid Search
Balance semantic AI and keyword precision to deliver highly relevant search results.
- Hybrid Relevance Control
Fine-tune the balance between lexical precision and semantic understanding with simple controls - Real-Time Preview
Instantly see how ranking changes impact results without deploying to production - Explainable Ranking
Understand how signals such as attributes, brands, and specs influence search results - Merchandising Flexibility
Combine AI-driven ranking with manual controls to optimize results for business performance
Real ways companies see a difference with Lucidworks Neural Hybrid Search.
B2C e-commerce product discovery
Deliver highly personalized product recommendations based on user behavior and semantic understanding.
Customer support knowledge base
Enable customers to find answers using natural language queries, reducing support tickets and improving satisfaction.
Complex B2B product catalogs
Even with complex technical specifications, help engineers and buyers find the exact part they need.
Internal knowledge management
Empower employees to find relevant information quickly and easily, boosting productivity and collaboration.
See Knowledge Management in Action
Media and content discovery
Deliver personalized content recommendations based on user preferences and semantic understanding of content.
“Neural Hybrid Search is so promising because it automates solutions for these big issues, helping teams provide relevance and improve outcomes with less work."
Eric Immermann, Practice Director, Search & Content, Perficient
Forrester's research shows businesses using Lucidworks achieved nearly quadruple their investment in just three years, breaking even in under six months.