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Knowledge Intelligence & RAG

Turn your company's documents into verifiable intelligence.

Source-grounded AI search, Q&A, and document extraction with zero hallucinations and complete data sovereignty.

CAPABILITY SCOPE

What I can build.

  • ✦RAG & Source-Grounded Document Q&A Systems
  • ✦Automated Regulatory & Legal Compliance Audit Engines
  • ✦Private Enterprise Knowledge Bases (Cloud & 100% Offline)
  • ✦Contract Review & Clause Comparison Copilots
  • ✦Multimodal Document & Scanned PDF OCR Pipelines
  • ✦In-Meeting Real-Time Intelligence & Briefing Hubs
  • ✦Automated Evaluation & Faithfulness Validation Suites
OUTCOMES & DELIVERABLES

What you get.

  • High-accuracy search pipeline combining semantic concepts and exact keyword matching
  • Exact page numbers, clause IDs, and bounding-box coordinates for every answer
  • Abstention gates so the system gracefully refuses when evidence is weak instead of hallucinating
  • Complete data privacy with options for 100% offline local inference (Ollama / ChromaDB)
  • Audit trail logs for regulatory and enterprise defensibility
Build Depth

From fast build to complete system.

You don't always need a massive enterprise build. We scope the software to match your exact timeline and stage.

FAST BUILD

Focused Working MVP

A private document search and Q&A engine on your PDF corpus in 1–2 weeks.

FULL INTELLIGENT SYSTEM

Production Infrastructure

Multi-agent audit orchestration + hybrid vector/BM25 retrieval + OCR preprocessing + deterministic verification gates + on-device vector search.

Workflow Compatibility

Keep your current tools. I'll build around them.

60-hour manual document reviews cut to 2-minute verified reports with complete traceability.

BEFORE // MANUAL BOTTLENECK
01Staff manually reads 100+ page contracts or manuals
02Takes dozens of hours across senior team members
03High risk of missing specific clauses or regulatory updates
04No automated citation logs or audit records
AFTER // AUTOMATED INTELLIGENCE
01Document uploaded to secure ingestion pipeline
02Multi-agent parser extracts clauses and hybrid embeddings
03System verifies compliance or answers queries in 2 minutes
04Exact page citations with bounding-box highlights generated
05Regulator-ready report exported with zero hallucination risk
Proof of Capability

Relevant working systems.

Real implementations that demonstrate this capability in production.

AI Compliance Audit Engine
Multi-Agent AI / LegalTech

AI Compliance Audit Engine

Automating legal compliance audits for the Indian DPDP Act 2023 using a high-fidelity multi-agent AI system.

WHAT IT DEMONSTRATES:

A regulator-ready audit system providing verified compliance tracking and high-fidelity reporting for digital privacy laws.

Privacy-First Local RAG
Local AI / Infrastructure

Privacy-First Local RAG

An all-offline document intelligence system with OCR support and semantic retrieval for sensitive data sovereignty.

WHAT IT DEMONSTRATES:

Zero cloud dependencies. 100% privacy compliance. Significant cost reduction by eliminating token-based pricing for high-volume internal document analysis.

MeetMe
GenAI / Productivity

MeetMe

Enterprise meeting intelligence with real-time transcription and local-first privacy-centric RAG.

WHAT IT DEMONSTRATES:

Low-latency platform with proactive context injection. No compromise on enterprise data sovereignty.

GST Compliance Copilot
Enterprise RAG / Fintech

GST Compliance Copilot

Failure-aware RAG system for Indian GST compliance where 'I don't know' is a first-class feature.

WHAT IT DEMONSTRATES:

Regulator-ready engine prioritizing factual grounding. 100% faithfulness in validation suites.

Engineering Depth

Under the hood.

Architectural details and engineering decisions behind this system.

Hybrid Search (Dense + Sparse Fusion)

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Pure vector search misses specific legal terms; hybrid search fuses pgvector cosine distance with BM25 keyword matching via Reciprocal Rank Fusion.

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Bounding box coordinates ({x0, y0, x1, y1}) stored per chunk enable visual PDF highlighting in UI.

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Deterministic abstention gates block responses when retriever agreement or confidence falls below threshold.

Start A Project

Have a use case for ai systems?

Tell me what you're trying to solve. I'll outline the architecture and build a working system quickly.

Tell me what you're building