VegradeAI engineering
Capability

RAG Applications

Citation-backed RAG with chunking strategies, hybrid retrieval, reranking, and admin tooling—so operators can trace answers, tune relevance, and meet audit expectations.

Retrieval systems engineered for messy documents and accountable answers.

Legal, healthcare, internal wikis, knowledge bases

Phases

4-phase program

Timeline

MVP RAG programs commonly land in 6–10 weeks post-scope

Outcomes

3 target deliverables

Problem framing

Where teams lose leverage

Naive chunking and single-vector retrieval produce confident wrong answers. We engineer retrieval stacks with measurable precision/recall and operator workflows for continuous improvement.

  • 1

    Tables, headers, and scanned PDFs break naive parsers and chunk boundaries.

  • 2

    Without reranking, irrelevant chunks dominate context windows.

  • 3

    Regulated teams need citations, retention policies, and exportable evidence.

Target outcomes

What this engagement delivers

  • Offline and online relevance metrics tied to product decisions

  • Traceable citations and admin review queues for low-confidence answers

  • Document processing pipelines with virus scanning and size governance

Scope

Deliverables we commit in writing

Exact backlog is tailored in discovery; below is representative of what enterprise buyers typically require for acceptance.

01

Layout-aware parsing, metadata enrichment, and domain-aware chunking

02

Hybrid lexical + dense retrieval with cross-encoder reranking

03

Confidence calibration, abstention policies, and human review hooks

04

Evaluation sets derived from real user failures—not toy benchmarks only

Program structure

Phased delivery model

Milestones map to artifacts you can review with engineering, security, and finance stakeholders.

1

Week 1

Corpus assessment

Formats, sensitivity, volume, and freshness requirements.

2

Weeks 1–3

Retrieval design

Indexing, chunking, reranking, and evaluation harness.

3

Weeks 3–7

Product wiring

UI patterns, admin tools, and production monitoring.

4

Week 7+

Tuning & launch

Continuous improvement loop with your subject-matter experts.

Reference view

Logical architecture

Your production topology will reflect your cloud, identity, and data residency choices — this diagram communicates control points and trust boundaries we design around.

Technology

Typical stack (vendor-neutral)

We standardize on primitives your team can operate — and avoid stack-lock where it hurts maintainability after handoff.

OpenSearch / BM25pgvector · Pinecone · WeaviateCross-encodersOrchestration layer

Indicative timeline

MVP RAG programs commonly land in 6–10 weeks post-scope

Final scope depends on your data maturity, integration count, and compliance requirements — all defined in the written SOW.

Get a scoped estimate

Governance

Security and compliance posture

We implement technical controls and documentation suitable for enterprise procurement — not checkbox theater.

Access-controlled corpora with immutable audit logs for sensitive queries

Configurable retention and export for e-discovery workflows where required

Separation of environments to prevent training leakage from production queries

Procurement

Statements of work, change control, and optional penetration-test windows are scoped explicitly. Legal sign-off remains with your counsel.

FAQ

Technical and commercial questions

RAG Applications

Ready to scope this engagement?

Thirty-minute discovery call. Fixed written scope within a week. No open-ended hourly burn.