Lucidworks
6.9/10Lucidworks sells an enterprise AI search and product discovery platform built on Fusion, with generative answers, AI agents and merchandising tools for commerce and workplace search.
Data last updated November 2026 · Our methodology
Overview
Lucidworks builds AI search and discovery software on top of Fusion, its search engine based on Apache Solr. The Lucidworks Platform adds several modules: Lucidworks AI for embedding and generative models, Neural Hybrid Search to blend keyword and semantic matching, Commerce Studio for merchandisers to manage rules and rankings, Analytics Studio for query and signal analytics, and Agent Studio for building website AI agents. Recent releases include Conversational Q&A agents that answer shopper questions from product manuals and spec sheets (May 2026), an MCP server that connects outside AI assistants to indexed enterprise data (April 2026), a no-code UI Studio, and a Lucidworks-managed AI Gateway for LLM keys. It fits large retailers, B2B distributors and enterprises that need relevance tuning across big catalogs or document sets. Named customers include Lenovo, Morgan Stanley and American Express. You can deploy it three ways: self-hosted Fusion on Kubernetes, which can run on-premises, hosted Lucidworks Search (Managed Fusion), or the SaaS Platform. Connectors cover sources such as SharePoint, and remote connectors can index data behind firewalls. Pricing is quote-only, with no free tier and no self-serve plan. Third-party buyer data suggests a median contract of around 53,500 USD a year, and professional services and infrastructure often add to that. The main limitation is operational weight. Reviewers describe pipelines, schema changes and upgrades as complex, and the hosted version is less flexible: it does not allow custom Docker images or custom stages, it requires mandatory upgrades, and promotions to production can take up to three business days.
Our Rating
Who Lucidworks is best for
Best software for E-commerceGood fit
Commerce Studio, part number detection, image data enrichment and product page Q&A agents are built for online retail and B2B commerce catalogs.
It is sold through enterprise contracts with hybrid deployment, SOC 2 Type 2 and ISO 27001, and its named customers include Lenovo, Morgan Stanley and American Express.
Banks and card issuers such as Morgan Stanley and American Express are named customers, and self-hosted and private deployments are supported.
Less suited
Agent Studio and knowledge management search can deflect repetitive questions using help content.
Pipelines, connectors and APIs give engineers deep control, but reviewers find setup and upgrades heavy.
There is no free or self-serve plan, and reviewers say the cost is too high for small clients.
Pros & Cons
Pros
- Supports self-hosted Fusion on Kubernetes, which can run on-premises, alongside hosted and SaaS options, which suits regulated buyers who need private infrastructure.
- Strong compliance record: a SOC 2 Type 2 report covering May 2025 to May 2026, plus ISO/IEC 27001:2022 and CSA STAR, all listed on a public trust center.
- Commerce-specific tooling such as merchandising rules, part number detection, image-based attribute enrichment and product page Q&A agents.
- Custom embedding model training on your own signals data, combined with neural hybrid search, gives deep relevance control.
- Ships updates often: the changelog shows new Agent Studio, MCP, UI Studio and Commerce Studio features throughout 2025 and 2026.
Cons
- No public pricing and no free tier, and third-party data puts a typical contract around 53,500 USD a year before services.
- Reviewers describe upgrades, pipelines and schema changes as cumbersome and complex to run.
- The hosted Lucidworks Search version blocks custom Docker images and custom stages, and upgrades are mandatory.
- Promotions to production on the hosted version can take up to three business days.
- Few public reviews: about 12 on G2 and 10 on TrustRadius, which makes peer validation thin.
- V1 connectors, including Salesforce, are deprecated, and a replacement was still in development.
Key Features
Lucidworks Pricing
Enterprise (custom quote)
- Quote-based annual or multi-year contracts
- Studios and Lucidworks AI availability depends on package
- Self-hosted Fusion, Lucidworks Search (Managed Fusion) or SaaS Platform
- Usage tracked against entitlements such as records, QPS and requests per year
Frequently Asked Questions
No. Pricing is quote-based with no free plan. Third-party buyer data from CostBench, based on a small sample, suggests a median contract of about 53,500 USD a year.
Yes. Self-hosted Fusion runs on Kubernetes, either on-premises or on clouds such as GKE, AKS and EKS. Lucidworks also offers hosted Lucidworks Search (Managed Fusion) and a SaaS Platform.
Its trust center lists a SOC 2 Type 2 report covering May 2, 2025 to May 1, 2026, which applies to self-hosted Fusion, Managed Fusion and the SaaS Platform. It also lists ISO/IEC 27001:2022, CSA STAR, the EU-US Data Privacy Framework, GDPR and CCPA. The hosted products get annual penetration tests.
Yes. An MCP server launched in April 2026 lets outside AI agents query enterprise data through Lucidworks' existing relevance models and security controls.
Enterprise SSO is available on Fusion or Lucidworks Search 5.9.5 and later. Since June 2026, Okta-based unified login has covered hosted Fusion instances and Grafana dashboards, though not self-hosted Fusion.
Lucidworks applies updates and security patches itself, and upgrades are mandatory and cannot be skipped. Configuration promotions to production are published within three business days.
Lucidworks says it supports open and closed source generative models, plus pre-trained and custom embedding models, for RAG, summarization and keyword extraction. Since April 2026, a managed AI Gateway can supply the LLM API keys, but the docs we checked do not name specific providers.
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