
Context-Aware Business Search
Hybrid lexical + dense retrieval with cross-encoder re-ranking for organizational knowledge. Measuring gains over keyword search on internal corpora.
DELRIQUE LABS is an applied research lab. We explore emerging tech, run disciplined experiments, build the ideas that survive — and customize open-source systems so organizations can own what they run.
01 — The Lab
Technology moves fast. The lab gives us room to investigate that change through practical work — building prototypes, testing new tools, and documenting what we learn, good or bad.
Understand a technology, a problem, or an emerging idea before committing to it.
Test it in a controlled environment with clear hypotheses and measurable outcomes.
Turn the ideas that survive into working prototypes and reusable tools.
Document, publish, or open-source what can benefit others.
Feed every outcome — success or failure — back into the next cycle.
Apply privacy, security and control as design constraints, not afterthoughts.
02 — Services
Don't build from scratch. Don't pay proprietary lock-in. We take proven open-source projects, harden them, theme them to your brand, and integrate them into your stack — with documentation and maintenance included.
03 — Focus Areas
These are questions, not services. Each area has running projects behind it.
Local AI, retrieval pipelines, automation, and AI-assisted workflows with human oversight.
Developer tools, interfaces, and practical digital utilities built and battle-tested.
How repetitive digital work can be simplified with software and intelligent systems.
Reworking, extending and publishing useful technology for others to build on.
Technologies that give people transparency and ownership over their digital systems.
Investigating new platforms, models and frameworks before they go mainstream.
04 — Projects
Projects are ideas that have earned their way past the experiment stage. We build them deliberately, test assumptions as we go, and publish what proves useful.
Keyword search matches strings, not meaning. We asked whether results improve when a system weighs entities, relationships and intent.
Results improve when structured organizational data is combined with semantic ranking and evaluated against internal test corpora.
We prototype pipelines that fuse lexical and dense retrieval, then re-rank with a lightweight cross-encoder tuned on domain documents.
Early runs show measurable gains on internal corpora. Full write-up publishes as the experiment matures.
Hybrid lexical + dense retrieval with cross-encoder re-ranking for organizational knowledge. Measuring gains over keyword search on internal corpora.
Running small language models close to the user and infrastructure — latency, cost and privacy trade-offs for enterprise use.
Idempotent, observable automation for repetitive digital work — with human checkpoints where judgement matters.
Capturing institutional knowledge as structured, queryable graphs rather than documents that decay.
Frameworks that keep data control, transparency and human oversight fundamental in AI-assisted processes.
Modular, interoperable components that return control of the stack to the organization.
Full write-ups publish as experiments mature — and they'll appear here and on Insights when they're released.
05 — Open Source
When an experiment can be useful beyond the lab, we share it — where licensing, security and project maturity allow.
Reusable code libraries and analysis frameworks extracted from our experiments.
Utilities that improve development and review workflows.
Self-hosted and deployment tooling for reproducible environments.
06 — Services
Don't build from scratch. Don't pay proprietary lock-in. We take proven open-source projects, harden them, theme them to your brand, and integrate them into your stack — with documentation and maintenance included.
The offer
You get a system your team understands, controls, and can modify — built on a foundation thousands of others already rely on, then shaped to your context.
We close the gaps generic deployments leave open: auth, secrets, logging, rate limits, and update hygiene.
Interface, terminology and workflows aligned to how your teams actually work — not a generic admin panel.
Wired into your SSO, data sources and existing tooling so it earns its place in the stack.
What we customize
Select a mature, well-maintained open-source base suited to the problem — audited for license and supply-chain risk.
Patch, configure securely, remove unused attack surface, and add the controls your compliance posture requires.
Brand-aligned interface, language and layout — usable by your people on day one.
Connect to identity, data and adjacent systems via clean, documented interfaces.
Build the capabilities the upstream project doesn't ship but your workflow needs.
Operator runbooks, admin guides and architecture notes your team can actually use.
A defined maintenance plan: upstream tracking, patch cadence, and a clear escalation path.
Source, keys, credentials and knowledge transferred cleanly to your team or ours to run.
Why this beats the alternatives
Maximum fit, maximum cost and risk. You re-learn every lesson the open-source community already shipped.
Fast to start, but you inherit recurring cost, data residency questions, and vendor lock-in.
Proven foundation, shaped to you, owned by you. The balance of speed, control and cost.
Example domains
Internal apps, portals and workflows built on open frameworks instead of bespoke code.
Document pipelines, reporting, dashboards and automation glued to your systems.
Self-hosted analytics and monitoring with your data never leaving your perimeter.
Workflow engines and bots that replace brittle manual processes, with audit trails.
Engagement process
We map your problem, constraints, stack and compliance needs — and pick a candidate base.
A written scope: what we fork, what we harden, what we build, and what "done" means.
Harden → theme → integrate → extend, in short reviewable increments.
Connect to your environment; validate with your data and your users.
Documentation, runbooks, and a maintenance plan you can adopt or have us run.
Assurance
Work is covered by mutual NDA. We default to your infrastructure, your credentials, and your data residency rules. We never train external models on your data, and we hand back every secret at project end. The result is yours to keep, modify and audit.
07 — Insights
Detailed write-ups — experiment results, architecture decisions and observations — are published here as they mature.
08 — Philosophy
Not novelty for its own sake — but the pursuit of better ideas, better systems, and better outcomes. The lab applies that philosophy to technology: explore widely, experiment carefully, build deliberately, and share what proves useful.
"Better ideas. Better systems. Better outcomes."
09 — Connect
We're interested in ideas, technical problems, experiments and opportunities where technology can be tested, built or improved.
contact@delrique.com




