Enterprise RAG Architecture
Hybrid retrieval combining dense vector embeddings with sparse BM25 indexing in pgvector, cross-encoder reranking, and parent-child chunking for high citation accuracy.
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Generative AI & Retrieval Engineering
Enterprise AI Solutions & RAG Systems
We design and deploy custom generative AI platforms, production-ready retrieval-augmented generation (RAG) engines, and intelligent assistants grounded in your private documents with strict access controls and verifiable source citations.
- Zero-hallucination citation audits
- Sub-600ms hybrid search latency
- RBAC permission filtering
Core Capabilities
What we build for enterprise teams
From private document search to customer-facing support copilots, we build AI tools that produce reliable, auditable answers.
Custom LLM Agents & Tool Calling
Autonomous task-oriented agents with deterministic tool-calling boundaries, API integration, and structured output validation using Pydantic.
Document Intelligence & Extraction
Layout-aware parsers for complex multi-page PDFs, balance sheets, tables, and scanned records into structured markdown schemas ready for indexing.
Security & Access Control (RBAC)
Role-based vector metadata pre-filtering ensuring users only query documents matching their organizational authorization level.
Scope & Deliverables
Production-ready systems, not prototype slides
Every engagement produces clean, tested software deployed directly to your infrastructure with complete source ownership.
Vector Ingestion Subsystem
Asynchronous document workers with automated semantic chunking and change-data-capture.
Hybrid Reranker Pipeline
Dense + BM25 retrieval merged via Reciprocal Rank Fusion and Cohere/BGE cross-encoders.
Deterministic Guardrails
Hallucination prevention gates and token-level citation validation before token streaming.
Full IP & Code Ownership
Zero vendor lock-in. Clean Python/FastAPI code deployed to your private VPC or cloud.
Proven Solutions
Relevant Case Studies
Review real architectural breakdowns and performance outcomes from our AI implementations.
Ready to deploy AI that works?