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AI Automation, Agents & Data Intelligence

AI Agents, LLM Apps & RAG

Building production Retrieval-Augmented Generation (RAG) pipelines over private company knowledge bases with pgvector embeddings, semantic search, and OpenAI/Claude tool calling.

Related Service: AI Automation, Autonomous Agents & RAG Development➔Consult on this Architecture
TECHNICAL SCOPE & SPECIFICATIONS

What This Covers & Core Capabilities.

In modern software engineering, ai agents, llm apps & rag requires deterministic execution, rigorous type safety, and seamless telemetry. Below are the core capabilities and engineering patterns applied across client deliverables:

1

Zero-Hallucination Vector RAG

Retrieving semantic document chunks to ground LLM responses strictly in proprietary company facts.

2

Autonomous Agent Tool Calling

Equipping AI agents with executable API tools to query databases, send notifications, and trigger webhooks.

3

Streaming UI & Chat History

Real-time token streaming with sub-250ms latency in Next.js React client interfaces.

Core Topics & Focus Areas

AI agent developmentLLM app developmentgenerative AI automationRAG developmentagentic AI workflowsAI assistants

Tools & Technologies

Large Language Models (LLM)Vector EmbeddingspgvectorPineconeRetrieval-Augmented Generation (RAG)Tool CallingPrompt Guardrails

Related Case Studies & Technical Proof

Verified real-world client implementations and measurable business results:

Jet Slate AI Agent Platform

Result: Sub-250ms RAG Latency
Read Case Study ➔

Upcoming In-Depth Guides

In Editorial Pipeline

The following technical deep-dives are currently in development as part of our comprehensive knowledge hub:

tutorialAI Agents, LLM Apps & RAG: A Practical Guide for Growing Businesses
Focus: AI agent development
how-toHow to Build an AI Agents, LLM Apps & RAG Roadmap That Scales
Focus: LLM app development
listicleAI Agents, LLM Apps & RAG Checklist: Costs, Tools, and Common Mistakes
Focus: generative AI automation

Related Topics in AI Automation, Agents & Data Intelligence

Work With Faisal Rafique on AI Agents, LLM Apps & RAG

Direct fractional engineering leadership, clean architectural implementation, and automated testing for clients across the US, UK, UAE, Saudi Arabia, Europe, and worldwide.