Neural Hybrid Search Is the Engine of Modern Search
Better Relevance | Less Curation of Rules | Quicker Time-to-Value | Better User Experience
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Hybrid Neural Search
Driven by Deep Learning
Lucidworks Neural Hybrid Search™ combines the best Lexical and Semantic Vector models using deep learning to provide precise search results throughout the company. It seamlessly combines deep customization with out-of-the-box capability, especially for AI, LLM, and custom-trained embedding models.
The neural component of Neural Hybrid Search allows it to comprehend the intent and context of a search query. By examining the query's keywords and their connections, it delivers more precise and relevant results.
Combining Semantic and Lexical Search
The hybrid methodology of Neural Hybrid Search guarantees that users are not constrained by rigid guidelines or preset criteria. With ongoing use, accuracy and relevance increase as it adjusts to new data and linguistic trends.
- 91% Decrease in Queries with No Results: Neural Hybrid Search ensures users get the results they need.
- 10%+ Improvement in Mean Reciprocal Rank: Increased accuracy in search results over time.
Combining Search and Discovery with Hybrid Search
Neural Hybrid Search distinguishes itself in the search and discovery industry by skillfully blending deep customization and unconventional functionality, especially the use of custom-trained embedding models.
Language Nuances and Catalog Mismatches in B2B Commerce
Language nuances, stock discrepancies, and catalog mismatches are common issues faced by B2B commerce firms. Neural Hybrid Search automates answers for these problems, helping teams provide relevance and improve results with less effort.
— Eric Immermann, Perficient's Practice Director for Search and Content
Why Use Lucidworks Neural Hybrid Search?
- Boost Relevance: Neural Hybrid Search enhances user search experiences by accurately deciphering the context and meaning behind search queries.
- Adaptable Embedding Model Choice: Lucidworks allows businesses to select embedding models (such as Lucidworks AI or custom models) to power the semantic component.
- Simplify Operations: The unified architecture reduces search ambiguity, lowers operational costs, and provides end-to-end optimization.
- Reduce Rule Explosion: The system minimizes reliance on manual rules by using AI to power relevance, which simplifies maintenance and increases adaptability.
Lucidworks Neural Hybrid Search Advantages
- Increase Time-to-Value with Unconventional Relevance: Use pre-trained models for quick implementation, then use custom-trained models to improve performance.
- Increase ROI with Effective Customizing: Scale user personalization using enterprise-trusted embeddings and signal metadata.
- Choose the Right Embedding Models: Lucidworks helps businesses select the best models, from pre-trained open-source to custom-trained embedding models.
- Reduce Operating Expenses: Proprietary AI setups minimize resource needs and eliminate the need for ongoing rule curation.
- Delivery of Suggested Items More Quickly: Find related products instantly, without waiting for batch operations to complete.
Lucidworks Accolades
- Executive Recognition: Lucidworks is a leader in the Gartner Magic Quadrant for Search and Product Discovery for 2024.
- 391% ROI: Lucidworks' Forrester Total Economic Impact: $13.9M net present value, with payback in less than six months.
- Trillions of Indexed Documents: Lucidworks processes trillions of documents, ensuring vast search coverage.
- Five Stars: Lucidworks is trusted by 50% of the leading US online merchants.
Lucidworks Enterprises
- Retail: Boost conversions, customize the shopping journey, and improve the search and browsing experience.
- Financial Services: Provide agents, advisors, and staff with pertinent information based on their roles.
- B2B Manufacturing: Assist customers from product discovery to field agent support throughout their lifecycle.
- B2B Commerce and Distribution: Power peer-to-peer marketplaces and provide buyer-specific shopping experiences.
- Healthcare: Enable a compliant, user-friendly search experience for the entire healthcare ecosystem.
- Public Sector and Government: Transform data into insights to take more efficient action.