Enterprise Search
Mission impact
The interval between a question and its answer is a direct input to operational tempo. By engineering search that surfaces the right document, case, or record at the moment of need — in every language the organization publishes — we convert accumulated content from a storage cost into an operational asset, reduce the duplicated work of re-creating information that already exists, and give decision-makers confidence that what they found is what the organization knows.
Findability Is Decision Velocity
Most organizations do not have an information shortage — they have a retrieval problem. The answer exists in a report, a policy document, a case file, or a page published three years ago, and the person who needs it cannot find it at the moment the decision is being made. Wilkes & Liberty architects, deploys, and tunes enterprise search environments built on Apache Solr that turn accumulated content into an asset your teams can actually interrogate — on infrastructure you control, with no dependency on a third-party search service.
What We Deliver
- Sovereign search architecture — Solr deployed inside your infrastructure boundary, with the index, query traffic, and telemetry remaining on systems your organization controls rather than routed through a commercial search vendor.
- Indexing pipelines from your systems of record — queue-based indexing from your content platform, including full-text extraction from document attachments, so PDFs and office documents surface alongside structured content.
- Relevance engineering — field-level boosting, multi-field query strategies, synonym expansion, spell correction, and autocomplete, tuned against how your users actually phrase what they need.
- Faceted discovery — navigation by the classifications that matter to your organization, so a user who cannot name the document can still narrow to it in three clicks.
- Multilingual analysis — language-specific stemming, stopwords, accent normalization, and phonetic matching across more than thirty languages, so search works in every language you publish.
Search Infrastructure as Code
A search platform whose schema lives in an admin panel is a platform no one can confidently change. We manage search configuration the way we manage all infrastructure: schemas, analyzers, request handlers, and cache policies are version-controlled artifacts, generated from declarative definitions, deployed through a documented procedure with atomic swaps and timestamped rollback points. A relevance change is a reviewable commit, a schema regression is a five-minute rollback, and the entire search tier can be rebuilt from source — the same discipline that governs our Private Infrastructure practice.
Multilingual by Analysis, Not Afterthought
Multilingual search is more than indexing translated pages. Each language carries its own stemming rules, stopwords, character mappings, and tokenization behavior, and a search platform that applies English analysis to Spanish or Russian content quietly returns worse results in every language but one. We configure language-specific analyzers so each document is processed by the rules of its own language — including phonetic matching that finds names across transliteration variants, a capability that matters in oversight, investigative, and case-management contexts. This pairs directly with the multilingual publishing workflows of our Enterprise Content Management practice.
Access-Controlled by Construction
A search index is a copy of your content, and it deserves the same protection as the source. We design indexing so that only content that has passed your platform's access rules is ever indexed — unpublished drafts and restricted material never enter the index at all — and we deploy the search tier with no public exposure: administrative surfaces reachable only over the private mesh behind identity-aware proxies, and query access mediated by your application layer. Security and findability work together in support of the mission; neither is traded for the other.
Operated, Not Just Installed
Search degrades quietly — indexes drift from source content, query latency creeps, and relevance erodes as the corpus grows. We operate what we deploy: search metrics feed the same observability stack that watches the rest of the environment, cores and configuration are captured in the nightly backup cycle, reindexing is a defined procedure rather than a weekend project, and capacity is tuned against measured query and indexing load. The result is a search capability that stays trustworthy after launch, not one that impresses in the demo environment and decays in production.
Make Your Content Answer
If your teams are re-creating documents that already exist, or your public site's search returns everything except the page the visitor wanted, the corpus is not the problem — the retrieval architecture is. Contact us to scope a search assessment or a full deployment.
Key capabilities
Solr and Elasticsearch architecture and deployment
Solr and Elasticsearch architecture and deployment. Delivers a scalable, sovereign search backend under full organizational control.Mission benefit: Delivers a scalable, sovereign search backend under full organizational controlIndex design, schema configuration, and relevance tuning
Index design, schema configuration, and relevance tuning. Produces search results that reflect operational priorities, not just keyword frequency.Mission benefit: Produces search results that reflect operational priorities, not just keyword frequencyFederated search across multiple content sources
Federated search across multiple content sources. Unifies search across repositories, sites, and applications through a single query interface.Mission benefit: Unifies search across repositories, sites, and applications through a single query interfaceSecure, access-controlled indexing
Secure, access-controlled indexing. Enforces document-level access controls so users only retrieve content they are authorized to see.Mission benefit: Enforces document-level access controls so users only retrieve content they are authorized to seeSearch analytics and continuous optimization
Search analytics and continuous optimization. Uses query data to improve relevance and surface gaps in coverage over time.Mission benefit: Uses query data to improve relevance and surface gaps in coverage over time
Sovereignty features
The index, query traffic, and search telemetry never leave your boundary — no commercial search service sits in the retrieval path, and no query stream is visible to a third party. Search schemas, analyzers, and relevance configuration are version-controlled artifacts under your ownership, so the entire search tier can be rebuilt from source on any infrastructure you choose, including fully disconnected environments.
Defense & government relevance
Deployable in self-hosted and air-gapped environments: the index, query traffic, and search telemetry remain on customer-controlled infrastructure, with no content routed through third-party search services. Indexing honors platform access controls by construction, so restricted material never enters the index. Multilingual analysis supports federal language-access and public-communication obligations, and phonetic name matching supports oversight and investigative workflows across transliteration variants.