Research intelligence, built on trust

Research intelligence, grounded in your sources.

CORIPEX turns document collections into structured, searchable research knowledge. Explore secure workspaces, evidence-aware research workflows, and an AI architecture designed to connect answers back to their sources.

Illustrative CORIPEX interface. Actual product screens will be added when approved.

SECURITY BY DESIGNRESEARCH WORKSPACESEVIDENCE-DRIVEN ANSWERSBUILT TO EVOLVE

Platform capabilities

From scattered documents to connected research.

One research environment for organizing knowledge, finding relevant evidence, and exploring questions with clear source context.

01 /

Secure Research Workspaces

Organize research in private, hierarchical workspaces with authenticated access and layered authorization.

02 /

Document Intelligence

Bring documents into a controlled processing workflow with malware scanning, isolated parsing, structured metadata, and version-aware content.

03 /

Search & Retrieval

Find relevant knowledge using text and semantic retrieval, with workspace-aware scope and source provenance.

04 /

Source-Grounded Research

Explore evidence-backed question answering designed to connect research findings to identifiable source passages.

05 /

Resilient Processing

Asynchronous processing, durable operation records, and controlled recovery help keep research workflows reliable.

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Security & Governance

Defense-in-depth controls protect identities, research boundaries, document processing, and access to AI providers.

The intelligence engine

Custom-Engineered RAG Pipeline

Beyond retrieval. Intelligence by design.

At the heart of CORIPEX is a purpose-built Retrieval-Augmented Generation pipeline, engineered for security, source traceability, and controlled research workflows.

Instead of depending on a generic end-to-end RAG framework, CORIPEX coordinates dedicated components for hybrid retrieval, context engineering, governed generation, and backend-controlled citations. Explore the stages below.

PIPELINE ARCHITECTURESelect a stage to learn more ↘
01Source & Access ScopeAuthorized workspaces, documents and provenance

Research begins inside an authorized Workspace. Document identity, version history, and PostgreSQL access rules are preserved before evidence is used by downstream systems.

02ALexical RetrievalPostgreSQL full-text search

Term-based retrieval finds passages that match explicit research language while respecting Workspace scope and source eligibility.

02BSemantic RetrievalVector search with Qdrant

Semantic candidates are retrieved from compatible vector indexes. Retrieved records must be rechecked against authoritative authorization and source state.

03Fusion & Context EngineeringRank fusion, deduplication, evidence selection and token budgets

Reciprocal Rank Fusion combines search channels. A dedicated ContextBuilder selects bounded, diverse, source-linked evidence and limits what may be transmitted to an AI provider.

04Governed GenerationPolicy checks, redaction and structured output

Model access passes through explicit provider policies, consent, data classification and minimization. Structured generation is coordinated by the application, not by the retrieved documents.

05Source-Linked Research AnswersBackend-controlled citation identity and evidence checks

Answer records preserve versioned citations and supporting source references. When the available evidence is insufficient, the workflow is designed to communicate that limitation rather than invent supporting facts.

Architecture explorer — a description of the CORIPEX research pipeline, not a live processing trace.

Interactive demo

Experience research across domains.

Explore guided research scenarios in Biology, Artificial Intelligence, Finance, and Legal Research. Follow the question, inspect supporting material, and see how a source-aware answer is presented.

Explore the Demo →

Architecture & engineering

Serious architecture. Practical by design.

CORIPEX is built as a security-first modular monolith: clear domain boundaries, a focused deployment model, and independent runtime responsibilities where isolation matters.

PostgreSQL anchors authoritative data and workspace permissions. Redis coordinates background work, while Qdrant supports vector retrieval as a rebuildable index. A governed AI layer separates retrieval, context construction, generation, and source verification.

CORIPEX system architecture

Private workspace + secure intake
Malware scan + bounded validation
Isolated parsing + versioned chunks
Authorized retrieval + bounded context
Governed generation + citation checks

Our engineering principles

Built on principles. Engineered for trust.

Research intelligence deserves more than an impressive answer. It needs secure foundations, traceable evidence, resilient systems, and room to evolve.

01

Security First

Protection is part of the architecture, from private workspaces and database-level isolation to secure document intake and controlled AI access.

02

Evidence Before Answers

Research starts with sources. Retrieval, provenance, and citations are designed into the workflow rather than added as an afterthought.

03

Knowledge Outlives Models

Documents, metadata, and source history remain authoritative; indexes and AI components can evolve around them.

04

Small Footprint. Big Architecture.

A focused modular core today, with explicit boundaries for more sophisticated capabilities tomorrow.

Designed to be tested, reviewed, and improved. Versioned data, automated checks, independent reviews, and failure-aware workflows are part of how CORIPEX is engineered.

What's next

The next chapter of research intelligence.

CORIPEX continues to evolve from a secure research workspace into a more capable research intelligence platform. Each new capability builds on a foundation designed for secure, explainable, and reliable AI.

Research foundation

Secure Knowledge Workspaces

Secure workspaces, document intelligence, traceable data, retrieval, and source-aware research workflows.

Under development

Intelligent Research Experience

More refined research interactions, guided analysis, improved context awareness, and richer ways to inspect supporting evidence.

On the roadmap

Advanced AI Research

Research agents, multi-model orchestration, deeper quality evaluation, and more sophisticated research briefs.

Future vision

Connected Knowledge Platform

Knowledge graphs, richer collaboration, organization-level features, and scalable cloud experiences.

More to come

Product walkthrough

See CORIPEX in action.

A guided product walkthrough is on the way. In the meantime, explore the interactive research demo.

Explore Interactive Demo →
PRODUCT VIDEO — COMING SOONReserved for a guided CORIPEX product walkthrough

Built with modern engineering tools

The technology behind CORIPEX.

A practical, modern stack chosen for clear responsibilities: a secure application core, a responsive research interface, reliable data and task infrastructure, and a replaceable AI integration layer.

Application

Python · FastAPI · Pydantic · SQLAlchemy · Alembic

Experience

React · TypeScript · Vite · TanStack Query

Data & Background Work

PostgreSQL · Redis · Qdrant · Dramatiq

Operations

Docker · Docker Compose · GitHub Actions

Security & Quality

PostgreSQL RLS · ClamAV · Argon2id · pytest · Ruff · mypy · Gitleaks

Get in touch

Let's talk research and engineering.

Interested in CORIPEX, its architecture, or the ideas behind the platform? Contact us at info@coripex.com.