Fusion 5.9.13June 17, 2025

Now Fusion gives you access to all of the available Solr settings for collapsing search results, giving you finer control over how Fusion groups variations of each item into a single search result. You can use collapse to improve conversion rates and customer satisfaction by streamlining search results, reducing cognitive load, and surfacing the most relevant product variations first.

For example, you can use a product_id field as the collapse field to group all versions or SKUs of a product into a single search result. You can also control how Fusion selects the variation that represents the collapsed group; the default is the one most relevant to the user’s query. For example, a user who searches for "red shoes" sees all of the red variations of shoes first, with the option to drill down and see all the variations.

Additional capabilities include:

This update eliminates the need for custom collapse implementations and makes SKU/product rollup behavior a first-class capability in Fusion.

For complete details about the new configuration options, see the Query Fields stage configuration reference.

Fusion 5.9.13 introduces full compatibility with Kubernetes version 1.32, ensuring seamless deployment and operation on the latest Kubernetes platforms. This update allows you to take advantage of the latest stability, performance, and security improvements in Kubernetes, including better control over sidecar container behavior and improvements to admission webhooks and scheduling logic.

By supporting Kubernetes 1.32, Fusion stays aligned with cloud provider upgrades and helps future-proof your infrastructure, especially on managed services like AKS, EKS, and GKE.

Fusion now allows you to configure the jwkSetTimeout variable in the JWT Realm settings, enabling better control over how long Fusion waits for a response when retrieving a JSON Web Key (JWK) set. This improves authentication reliability in environments where key providers may respond slowly. By increasing the default 500 ms timeout as needed (for example, to 2000 ms), you can reduce the risk of failed authentication due to network latency or external service delays.

You can configure this in the Fusion UI under the System > Access Control > Security Realms tab. Alternatively, you can set this in the security.initial-realm-configs spring boot properties:

Fusion 5.9.13 adds vector quantization in certain Lucidworks AI (LWAI) pipeline stages, making it easier to reduce memory usage and accelerate vector search without sacrificing quality. Quantization converts high-precision float vectors into compact 8-bit integer vectors, significantly lowering storage and compute costs.

Now you can choose between min-max or max-scale quantization methods directly in the pipeline configuration interface for the LWAI vectorization stages:

To select the quantization method, go to Model Config in the LWAI pipeline stage configuration and enter the vectorQuantizationMethod parameter with the value for the desired method:

Fusion 5.9.13 introduces the ability add custom certificates for indexing and querying services, making it easier to align to your organization’s specific security requirements. This feature allows a Helm chart update to support persistent custom certificates and adding them into truststores during pod startup.

To add a custom certificate, create a new YAML file for your custom certificates and edit it to include your indexing or querying certificates. You must use different YAML files in order to use different certificates for indexing and querying services. See Deploy Fusion at Scale for full instructions, including the Helm chart update.

For parity with the Neural Hybrid Query stage, the Chunking Neural Hybrid Query Stage now supports pre-filtering.

Pre-filtering can improve performance by reducing the number of chunks that need to be processed. However, in some cases it can also lead to less accurate facet counts and search results.

Pre-filtering is blocked by default. You can enable it by unchecking the Block pre-filtering checkbox in the Chunking Neural Hybrid Query stage configuration.

The Hybrid Query pipeline stage is now deprecated. Instead, use the Neural Hybrid Query stage, which combines lexical and vector search and includes improvements such as K-Nearest Neighbors (KNN), chunking, and more.

Fusion 5.9.13 removes the deprecated X-XSS-Protection HTTP response header from the session API. This header is no longer supported by modern browsers and has no effect on security behavior. Its removal helps avoid confusion during security audits and aligns with current web security standards.