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2025-08-08
Agent Studio
Introducing Agent StudioWe are pleased to announce the launch of Agent Studio, a new capability on Lucidworks Platform that enables organizations to create and deploy AI-powered virtual agents for their websites. These prebuilt, customizable agents address a wide range of use cases, including product question-and-answer experiences and generative AI summarization.
Agent Studio Q&A

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Designed for B2B and B2C

Agent Studio supports both B2B and B2C commerce strategies. For B2B organizations, virtual agents can guide customers through complex product specifications, compatibility requirements, and contract terms, helping shorten sales cycles. For B2C retailers, agents can answer product-specific questions about features, ingredients, or usage guidelines, giving customers the confidence to complete purchases.
Agent Studio Q&A

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Business impact

Virtual agents are available 24/7 to handle high inquiry volumes, reducing wait times and live interaction demands. This enables staff to focus on resolving complex cases, accelerating transaction completion, and improving customer satisfaction. By integrating directly into product pages, agents deliver accurate, contextual information without requiring customers to search multiple documents.

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Key features

  • Library of prebuilt agent types, including Product Q&A agents optimized for industry and use case.
  • Integration with Google Cloud Storage datasources for secure, cloud-based data ingestion.
  • Simple deployment with a script and HTML snippet.
  • Multiple options for product ID extraction to ensure accurate, product-specific answers.
  • Customizable layout through CSS to match website branding.

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Get started

Agent Studio is available now in Lucidworks Platform. Select an agent type from the library, connect your datasource, choose an AI model for your industry, and implement the agent with a few lines of code. You can preview and refine the agent before it goes live, ensuring accurate, optimized responses.

Agent Studio

Explore the Agent Studio documentation to discover how to create, customize, and deploy AI-powered virtual agents for your business.
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2025-06-11
Core Settings
Core Settings is a new capability that simplifies how organizations design and manage search experiences. It provides a single place to configure critical elements of search, including relevance, boost, and typeahead, without requiring code or infrastructure changes.
Boost in Core Settings
This release introduces an intuitive workflow that makes advanced features accessible in minutes. For example, teams can adjust Neural Hybrid Search by setting the balance between lexical and semantic approaches through a simple slider. What previously required technical expertise can now be managed through a straightforward interface, giving more teams direct control over search quality.
Neural Hybrid Search in Core Settings
The benefits of Core Settings extend beyond configuration. The preferences defined here establish a consistent foundation that carries through to Commerce Studio and other applications. This creates a shared understanding of the optimal search setup across environments, ensuring users and customers encounter relevant, high quality results.

Benefits for B2B commerce

Core Settings enables organizations to move faster, align teams around a unified search strategy, and deliver improved experiences to both business buyers and consumers.

Core Settings

Use Core Settings to quickly define how search works across your applications. Adjust relevance, apply boosting rules, enable typeahead, and fine tune Neural Hybrid Search with no coding necessary.
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2025-05-14
Lucidworks AI
Lucidworks AI now supports chunkingLucidworks AI now uses document chunking to deliver more precise search results and AI-generated responses from large files. Chunking breaks documents into smaller, meaningful sections so the system can identify and return the most relevant part, rather than the entire document. This capability is available in Fusion 5.9.12 and later.This delivers:
  • More accurate answers: Generative AI uses the most relevant sections, improving accuracy and reducing irrelevant output.
  • Better context: Responses are grounded in the specific parts of a document that match the prompt.
  • Fresher content: Updates and removals apply at the section level, ensuring AI uses current information.
  • Improved ranking: Search and AI results can prioritize the best-matching chunks instead of entire documents.
Five chunking strategies are available:
  • dynamic-newline: Breaks text at newline characters, adjusting chunk size automatically.
  • dynamic-sentence: Groups sentences together with flexible chunk length based on context.
  • regex-splitter: Uses a custom regular expression to define chunk boundaries.
  • semantic: Organizes content into sections based on meaning and related ideas.
  • sentence: Creates chunks from single sentences or a set number of sentences, based on configuration.
In B2B and B2C commerce, these strategies help AI find exact product details, specifications, or terms hidden deep in large catalogs, manuals, and contracts, improving customer experiences and sales efficiency.

Chunking in Fusion 5.9

Discover how to use Lucidworks AI to chunk documents for improved retrieval, relevance, and ranking in Fusion 5.9.