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Technologies · Data and AI engineering

RAG as architecture, not a feature

Retrieval-augmented generation treated as an architecture: ingestion, retrieval, evaluation and governance.

Technology overview

Where RAG earns its place.

Retrieval quality decides answer quality. Chunking, embeddings, hybrid search and reranking do more for accuracy than switching models — and permissions must survive the retrieval step.

Retrieval before generation

Most quality problems are search problems.

Permissions preserved

Users only retrieve what they may already read.

Freshness handled

Incremental ingestion keeps answers current.

Business applications

What businesses use it for.

Internal knowledge search

Policy, product and process answers grounded in approved documents.

Customer self-service

Support answers with citations back to source content.

Analyst workflows

Question-answering across contracts, reports and case files.

Lucidspire capabilities

What we do with it.

Ingestion pipelines

Parsing, chunking and incremental refresh across content sources.

  • Document parsing
  • Chunking strategy
  • Incremental sync

Retrieval engineering

Hybrid search, reranking and metadata filtering tuned to your corpus.

  • Vector and keyword hybrid
  • Reranking
  • Permission-aware filters

Evaluation and governance

Grounding checks, citations and audit trails.

  • Retrieval evaluation
  • Citation enforcement
  • Access and audit logging
Implementation methodology

How delivery runs.

  1. Step 01

    Assess

    Understand the current state, constraints and the outcome that justifies the work. Current-state review · Requirements and success criteria · Costed target design

  2. Step 02

    Build

    Deliver in short increments with review points the business can act on. Incremental delivery · Automated testing · Documentation as we go

  3. Step 03

    Operate

    Monitor, support and hand over so the platform survives the project team. Monitoring and alerting · Runbooks and training · Optional managed support

Adjacent stack

What it sits alongside.

Storage and search

  • pgvector
  • Hybrid search
  • Metadata filtering

Pipeline

  • Parsers and OCR
  • Chunking
  • Embedding models

Assurance

  • Groundedness evaluation
  • Citations
  • Audit logs
Markets

Where we deliver this.

  • India
  • KSA
  • UAE
  • Oman
  • Qatar
  • USA
  • UK
Downloads

Take the detail with you.

Lucidspire company profile

Capabilities, delivery model and engagement options in one document.

PDF

FAQs

Questions we are asked first.

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