AI Agent Architectures // Deploying LLMs

ENGINEER
INTELLIGENT AGENT
PIPELINES.

We build enterprise-grade retrieval-augmented generation (RAG) models, custom semantic searching clusters, and multi-agent execution graphs backed by human-in-the-loop validation.

Consult AI Architect Explore Pipelines
// SYSTEM DESIGN

COGNITIVE
INFRASTRUCTURE.

  • 01

    Retrieval Augmented Generation (RAG)

    We connect custom vector indexes (Pinecone, pgvector) to enterprise knowledge repositories. Real-time grounding prevents LLM hallucination and guarantees data accuracy.

  • 02

    Multi-Agent Execution Systems

    Break complex work into multi-agent systems. Different agents act as planners, routers, coders, and validators, executing multi-step business procedures securely.

  • 03

    Human-In-The-Loop Guards

    Critical database updates, client-facing emails, and outbound financial actions are queued in n8n or Slack for human review before final execution.

USER QUERY EMBEDDING VECTOR DB LLM CLAUDE ERP ACTION OUTPUT
intelligize-agent-pipeline.log
// Initializing enterprise vector search…
system @ vector-search: Query embedded successfully (dimension: 1536)
system @ vector-search: Querying Pinecone collection… Match found (score: 0.942)
// Injecting matched semantic context into Claude-3.5-Sonnet payload
payload @ LLM_call: context_tokens: 3,481 | temp: 0.1 | response_tokens: 142
response @ LLM_output: structured payload generated successfully. latency: 842ms
// Executing automated API write action…
action @ OdooAPI.sync_inventory: updated invoice #INV-2847. status code: 200 OK
// CAPABILITIES

INTELLIGENT SERVICES

Semantic Search & RAG

We deploy hybrid search engines combining dense semantic vector embeds and sparse keyword filters to fetch context-accurate query matches from millions of documentation rows.

Review System →

Multi-Agent Execution

Task complex business tasks to networks of collaborating agents. Each agent acts as an autonomous node executing single tasks, and routes output logs dynamically.

Review System →

Document Structuring

Automate reading of complex forms, contracts, and utility logs. Custom vision-based OCR processes documents and generates structured, validation-ready JSON data feeds.

Review System →
// SCOPE OF WORK

ENGAGEMENT MODELS

Single Project Development
$6,500+
  • Vector database setup & chunking optimization
  • Proprietary LLM grounding pipeline (RAG)
  • System testing, calibration, and validation checks
  • Advanced prompt engineering and token budgeting
  • Custom dashboard for token monitoring
Scoping Scenarios
Managed AI Operations
$3,500/mo
  • Continuous model evaluation and guardrail checks
  • Dynamic vector indexing and document database sync
  • New agent creation and workflow updates
  • Token budgeting and API security audits
  • Dedicated AI architecture resource
Retain AI Architect