Documentation Index
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Conversational Q&A and FAQ agents
Two new Agent Studio agents are now available. Both the Conversational Q&A agent and the Conversational Q&A FAQ agent are AI-powered and live on your organization’s product detail pages. Customers can ask natural-language questions about a product, and the agent responds with accurate, real-time answers grounded in that product’s own documentation, such as datasheets, manuals, specifications, and other supporting PDF technical content.
You can quickly and easily create multiple agents that enhance your ability to provide information 24/7 to customers and internal purposes. For example, you may have one agent for customers about product information, and another for employees to get information about organization policies.
Core Settings for multiple query profiles
Core Settings now supports managing multiple query profiles within a single site, enabling you to configure and maintain distinct search experiences for different use cases.When your site has multiple query profiles, a query profile selector appears at the top of the Core Settings interface. You can switch between profiles to configure each search experience independently without affecting other profiles.
- Separate search configurations for different websites or applications
- Different ranking strategies for various content types
- Dedicated search behaviors for internal versus public users
- Distinct search experiences for multiple audiences or regions
The query profile selector only appears when your site has multiple query profiles configured.
Sites with a single query profile continue to work exactly as before with no interface changes.
Rules and Rewrites API
Commerce Studio now provides a public-facing Rules and Rewrites API that enables programmatic management of merchandising rules and query rewrites. This API supports enterprise automation workflows, enabling you to create, update, and synchronize rules across multiple environments through CI/CD pipelines, internal tools, and custom integrations.
summer-promo-2026 in development, then deploy the same rule to QA and production using that identifier to ensure changes propagate correctly across all environments.These capabilities address enterprise use cases where manual UI-based rule management does not scale:- Automated deployments: Integrate rule management into CI/CD workflows for consistent, repeatable deployments.
- Cross-environment synchronization: Maintain identical rule sets across development, QA, and production.
- Internal system integration: Connect Commerce Studio to merchandising platforms, promotion systems, or custom tooling.
- Large-scale rule management: Efficiently manage rule sets that are impractical to maintain manually.
Average Click Position
Commerce Studio and Analytics Studio now display the average ranking position of products in the search results when the customer clicks those products.A lower average click position is better, because that means customers are finding the product near the top of the results, which provides the following benefits:- Increased customer satisfaction with the search experience
- Enhanced conversion rates
- Minimized cart abandonment and loss of sales to competitors
Average click position graph in Commerce Studio
The Ranking Insights panel in Commerce Studio displays average click position of the query specified in the Conditions Manager section of the Editor screen.The metric is calculated by dividing the sum of all clicked positions by the total number of clicks for the current query and time period selected in the Editor screen.
Average click position graph in Analytics Studio
The Analytics Studio Signals Analytics screen displays an average click position graph that measures the average ranking position for all products for the designated time period.The metric is calculated by dividing the sum of all clicked positions by the total number of clicks for the time period displayed.
Starts With and Ends With query matching
Commerce Studio now supports Starts With and Ends With query matching methods, giving you more precise control over when rules trigger. These new matching options complement the existing Is, Contains, and Contains Phrase methods by enabling prefix- and suffix-based targeting strategies.These enhancements enable the following capabilities:- Target branded searches when queries begin with specific brand names.
- Apply location-specific logic when queries end with “near me”.
- Trigger help content when queries end with “manual,” “pdf,” or “replacement”.
- Reduce rule sprawl by creating precise, structured query patterns instead of multiple broader rules.
This feature requires Fusion or Lucidworks Search 5.17.0 or later.
Generative AI using Lucidworks-managed keys
Lucidworks now offers the option to execute generative AI models using Lucidworks-managed API keys, which eliminates the need for your organization to manage third-party credentials across multiple large language model (LLM) providers such as OpenAI, Anthropic, Google, and Azure.This business option delivers significant operational and strategic advantages in a simplified deployment that eliminates complex third-party integrations and allows your teams to focus on business goals rather than credential management.Your organization benefits from reduced costs with predictable, fixed pricing instead of unpredictable per-token charges across multiple vendors. This lowers administrative overhead for managing vendor relationships and billing accounts.This Lucidworks-managed service handles the complete lifecycle of Gen-AI model execution through the Lucidworks AI Gateway for Gen-AI use cases in the Prediction API and Async Prediction API.Your organization will configure dedicated Fusion pipelines using LWAI Prediction index and query stages withUse Case and Model values provided by Lucidworks, while Lucidworks manages the underlying infrastructure, API key lifecycle, and model routing.
Advanced grouping
Commerce Studio now supports advanced grouping, a conditional, rule-based approach to product variant grouping that gives you dynamic control over how products are grouped in search results.Unlike standard variants that apply uniformly across all products and queries, advanced grouping uses rules to trigger different grouping parameters based on conditions such as queries, categories, or other criteria. For example, you can group products by color for fashion queries while grouping by product ID for electronics queries.This dynamic capability enables you to create context-aware grouping strategies that adapt to different search scenarios, improving product discovery and the customer experience.See Advanced grouping in the Rules documentation for complete configuration details.Category management for Commerce Studio
Because category-level optimization plays a critical role in guiding product discovery and driving conversion, Commerce Studio now includes a dedicated Category Management workspace that lets merchandisers easily curate and optimize category pages without complex Fusion configuration. You can select categories using both readable names and IDs, apply category-level rules and conditions, preview changes before publishing, and measure performance with integrated analytics. This streamlined experience empowers your merchandising team to manage browse experiences with the same speed, control, and insight available for search—reducing reliance on engineering and accelerating time to impact.You can configure the category field on the Settings screen, then use category conditions in the Editor to access the available categories and optimize the results for each one:
Typeahead
The new Typeahead feature is now available in Lucidworks Platform Core Settings to help customers find results faster with real-time query suggestions as they type.The feature supports Included and Excluded suggestion lists to control which typeahead suggestions appear as customers type. Users can manually add terms to both lists while the Platform automatically populates the table with the most popular terms from a linked signal store.As your customer enters text into the search box on your site, the Typeahead feature uses the Included suggestions list to predict possible customer queries and displays suggestions in real time. When the customer clicks on the suggestion, results for the selected term display.This function helps customers find relevant results faster by predicting what they are trying to search.See Typeahead for information to enter and manage suggestions. To retrieve a full or partial list of suggestions for your organization, see Typeahead Service API.AI Ranking Insights
AI Ranking Insights is a new Commerce Studio feature that displays a clear, business-friendly explanation about why a product or content is ranked in a given position.When you click a search result, and then click AI Ranking Insights, this feature uses a large language model (LLM) to interpret primary ranking drivers, such as text relevance, rules, boosts, rewrites, and AI-driven signals like Neural Hybrid Search (NHS), in Fusion’s debug response. Specifically, AI Ranking Insights identifies key relevancy influencers including merchandising rules, matching fields, and matching logic, and then returns the reasoning in a readable format so merchandisers and search managers can quickly identify the key factors influencing a search result’s relevancy.For example, if you click on a bathroom faucet handle pinned as first in a search for “bathroom faucet”, the response is:“Bathroom Faucet Handle ranks #1 out of 12550 total results because of a pin rule that explicitly places this specific product at the top of the results for the query bathroom faucets. This merchandising rule overrides the organic search ranking to ensure the product appears in the first position.”Using this information, the merchandiser or search manager can modify the factors of this and other search results, if needed, to rank other results higher than the bathroom faucet handle.See AI Ranking Insights for complete details and instructions to use this feature.Image Data Enrichment
The new Image Data Enrichment feature in Lucidworks AI automatically enhances product catalogs with richer attributes by analyzing each item’s images and text fields to infer relevant details. By enriching your catalog’s categories, keywords, and synonyms, you make it easier for customers to find what they’re looking for—driving higher conversions and reducing search abandonment. This feature is especially powerful when your product catalog is too large for manually adding details to every item.See Image Data Enrichment for complete details and instructions for enabling the feature. You can use this feature with or without Fusion.Streaming responses for the LWAI Prediction API
The LWAI Prediction API now supports streaming responses, enabling applications to receive model output as it is generated. This improves responsiveness for interactive workloads such as chat experiences and real-time content generation. Clients can enable streaming by adding theAccept: text/event-stream header to synchronous prediction requests, which returns model output as a sequence of Server-Sent Events (SSE).Streaming is available only when calling the LWAI Prediction API directly as Fusion does not yet support streaming responses.See the Prediction API for examples of curl calls and streaming output.Accelerated indexing with Lucidworks AI batch vectorization
Lucidworks AI continues to advance the performance of vector-based indexing. The latest release introduces new batch vectorization functionality that significantly improves embedding throughput. Fusion 5.9.15 now supports this capability through the LWAI Batch Vectorize Index Stage, enabling faster and more scalable document processing. This integration shows how Fusion and Lucidworks AI evolve together to deliver higher performance for AI-driven indexing.Fusion
Upgrade to Fusion 5.9.15 to take advantage of the new LWAI Batch Vectorize Index Stage and achieve faster, more scalable indexing performance. Follow the Fusion upgrade guide to complete your upgrade.
Lucidworks Search
Lucidworks Search customers can request an upgrade to Fusion 5.9.15 to enable the new LWAI Batch Vectorize Index Stage and benefit from significantly improved indexing performance. Contact your Lucidworks representative to initiate the upgrade process.
Performance improvements
Benchmark testing shows that using theLWAI Batch Vectorize Index Stage achieved indexing speeds up to 10 times faster than the single-document approach. Indexing rates reached as high as 95 documents per second, compared to fewer than 8 documents per second previously. Even with larger embeddings, throughput consistently exceeded 80 documents per second.How it works
The LWAI Batch Vectorize Index Stage buffers documents until either the maximum batch size or the maximum wait time is reached. The batch is then sent to the Lucidworks AI embedding service in a single API call, reducing overhead and enabling more consistent scaling.
Integrated product development
This release demonstrates how Lucidworks AI innovations directly influence Fusion’s evolution. The LWAI Batch Vectorize Index Stage enables Fusion users to take advantage of Lucidworks AI’s optimized batching and embedding capabilities without changing existing configurations.This release highlights how Fusion and Lucidworks AI are being developed in parallel to deliver practical improvements. By adopting the new Batch Vectorize stage, Lucidworks AI users benefit from faster indexing and greater scalability without needing to change their embedding configuration.For details on setup and configuration, see the LWAI Batch Vectorize Index Stage documentation.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.
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.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.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.
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.
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.
Core Settings enables organizations to move faster, align teams around a unified search strategy, and deliver improved experiences to both business buyers and consumers.
Benefits for B2B commerce
Benefits for B2B commerce
B2B buyers often work with large, complex catalogs and need precise access to products or parts. Core Settings enables fine control over relevance, making it easier to surface the right items quickly. Boosting rules and typeahead help reduce friction in product discovery and speed up workflows, which supports efficiency for procurement teams and sales operations.
Benefits for B2C commerce
Benefits for B2C commerce
B2C customers expect fast, personalized experiences that feel intuitive. Core Settings allows merchandising and digital teams to tune search in ways that highlight trending products, balance semantic understanding with exact keyword matches, and provide responsive typeahead suggestions. These adjustments improve product findability, reduce abandonment, and support higher conversion rates across retail and consumer channels.
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.
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:Five chunking strategies are available:
- 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.
- 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.
Chunking in Fusion 5.9
Discover how to use Lucidworks AI to chunk documents for improved retrieval, relevance, and ranking in Fusion 5.9.