Karthik RameshContact
All workOpen-source reference build

Evidence-first Knowledge Workspace

A role-aware knowledge workspace that turns approved documents into grounded answers with evidence, confidence signals and human review.

For
Enterprise knowledge teams working with sensitive, approval-governed information.
Ownership
System design, Agent workflow, Retrieval and evaluation, Full-stack implementation
System
FastAPI, Next.js, PostgreSQL, pgvector, Redis, Docker
Knowledge workspace showing processed documents, grounded answers and confidence signals
Knowledge workspace populated with synthetic demonstration documents.Synthetic demonstration data
The workflow problem

What had to change

Knowledge workers need concise answers, but a fluent response is not a source of truth and low-confidence claims require escalation.

The product response

How the product behaves

The platform retrieves approved evidence, produces cited answers, exposes agent traces and routes uncertain outputs into a controlled review workflow.

User journey

From first signal to inspectable outcome

  1. 01Approve documents
  2. 02Retrieve evidence
  3. 03Generate a grounded answer
  4. 04Verify citations
  5. 05Escalate uncertainty
  6. 06Audit the decision
Architecture

The control path

The model participates inside a product boundary. Typed software, policy and human review retain authority where consequences matter.

  1. Identity

    JWT, RBAC and document ownership

  2. Knowledge

    PostgreSQL, pgvector and metadata filters

  3. Agents

    Ten-stage retrieval and review workflow

  4. Evidence

    Citations, confidence and trace capture

  5. Operations

    Evaluation, usage, latency and audit signals

Product decisions

Choices that shape the system

01

Viewer by default

Public registration cannot select elevated roles.

02

Evidence is canonical

Only actually referenced chunks become citations.

03

Low confidence becomes workflow

Uncertainty triggers review rather than hidden guessing.

Evaluation and reliability

What keeps the product inspectable

Controls

  • Role-aware access
  • Citation verification
  • Human review
  • Evaluation and observability

Verified evidence

  • Ten-stage agent workflow
  • Grounded Q&A
  • Operational audit signals

Current limitations

  • The reference build uses one shared workspace and does not provide tenant-level document isolation.
  • Deterministic providers support reproducible demos but do not represent hosted model quality.
Knowledge workspace analytics showing usage, confidence, latency and review activity
Operational analytics generated from synthetic demonstration activity.Synthetic demonstration data
Karthik’s ownership

System design · Agent workflow · Retrieval and evaluation · Full-stack implementation

GitHub repository View all work