Hybrid Neural Search by Lucidworks

Better Relevance | Less Curation of Rules | Quicker Time-to-Value | Better User Experience

Let's connect with Lucidworks to discover how Hybrid Neural Search can help your organization grow.

Hybrid Neural Search

For precise search results throughout the company, Lucidworks Neural Hybrid SearchTM combines the best Lexical and Semantic Vector models using deep learning. Unlike other solutions, Neural Hybrid Search integrates deep customization with out-of-the-box capability, particularly for AI, LLM, and custom-trained embedding models.

Driven by Deep Learning

Neural Hybrid Search's neural component allows it to comprehend the intent and context of a search query. It examines the query's keywords and their connections to deliver more precise and relevant results.

Combining Semantic and Lexical Search

The hybrid methodology of Neural Hybrid Search ensures users aren't confined by rigid rules or preset criteria. With continued use, accuracy and relevance improve as it adapts to new data and linguistic trends.

Results:

• 91% decrease in queries with no results
• Improvements of 10%+ in Mean Reciprocal Rank

Combining Search and Discovery with Hybrid Search

Neural Hybrid Search stands out in the search and discovery field by skillfully merging deep customization and unconventional functionality, especially in utilizing custom-trained embedding models.

"Language nuances, stock discrepancies, and catalog mismatches are common issues faced by B2B commerce companies. Neural Hybrid Search offers a solution by automating answers to these major problems, improving relevance and results with less effort." — Eric Immermann, Practice Director, Search and Content, Perficient

Lucidworks Neural Hybrid Search: Why Use It?

• Boost Relevance: Improve user search experiences by accurately interpreting query context and providing highly relevant results.
• Adaptable Embedding Model: Businesses can choose from pre-trained or custom embedding models, allowing for flexibility and personalization.
• Reduce Operational Complexity: Unify disparate lexical and semantic components to reduce ambiguity and costs.
• Minimize Rule Explosion: AI-driven relevance reduces the need for manual rules, making the system easier to maintain.

Lucidworks Neural Hybrid Search Advantages

• Increase time-to-value with unconventional relevance.
• Boost ROI by using enterprise-trusted embeddings and signal metadata to personalize search at scale.
• Reduce operating costs with simpler AI setups and minimized rule curation.
• Deliver related product recommendations instantly without waiting for batch operations.

Accolades for Lucidworks

• Recognized as a leader in the 2024 Gartner Magic Quadrant for Search and Product Discovery.
• ROI of 391% from the Forrester Total Economic Impact report for Lucidworks (2023), with a payback period of less than six months.
• Indexed trillions of documents to power search capabilities.
• Used by 50% of the leading US online merchants.