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Services/AI Systems

Intelligent AI
Systems

We build AI infrastructure that goes beyond chatbots — production-ready agents, RAG pipelines, and LLM integrations that create real business value.

rag_pipeline.py
from langchain import RAGChain
from pinecone import Pinecone
// Initialize knowledge base
vectorstore = Pinecone(
index_name="kb",
embedding="text-embedding-3-large"
)
chain = RAGChain(vectorstore)
// Returns grounded answers

What We Build

GPT-4o powered conversational AI assistants
RAG (Retrieval-Augmented Generation) systems
Vector database architecture (Pinecone, ChromaDB)
Voice AI agents (inbound & outbound)
Multi-agent orchestration systems
AI copilots for internal team workflows
Knowledge base AI with document ingestion
LLM fine-tuning and prompt engineering
LangChain / LlamaIndex pipeline development
OpenAI, Claude, and Gemini integrations
Streaming AI response infrastructure
AI evaluation and observability

How RAG Systems Work

We build production RAG pipelines that give AI models accurate, real-time access to your organization's knowledge.

01

Document Ingestion

PDFs, Notion, Confluence, websites → chunked and embedded

02

Vector Storage

Embeddings stored in Pinecone or ChromaDB with metadata

03

Semantic Retrieval

User query → vector similarity search → top-k chunks retrieved

04

LLM Generation

Retrieved context + query → LLM generates accurate response

AI Models We Work With

🧠
GPT-4oOpenAI

General reasoning, code, multimodal

🧠
Claude 3.5Anthropic

Long context, analysis, writing

🧠
Gemini ProGoogle

Multimodal, search augmented

🧠
Llama 3Meta (OSS)

Private deployment, fine-tuning

AI Systems & AI Agents Development Services

MarketKloud builds advanced AI systems and intelligent agents that automate workflows, enhance decision-making, and deliver real business value. We specialize in GPT-powered applications, RAG pipelines, and AI integrations for modern businesses.

Our AI solutions go beyond basic chatbots. We design scalable AI infrastructure that connects with your data, tools, and workflows to create intelligent systems that operate in real-time.

What We Build with AI

We build AI assistants, knowledge systems, voice AI agents, internal copilots, and automation-driven AI workflows using modern LLMs and vector databases.

Frequently Asked Questions

An AI system is a combination of models, workflows, and integrations designed to automate decision-making, improve efficiency, and generate measurable outcomes.

We build complete, production-ready systems integrated into your workflows rather than isolated tools.

Most businesses see reduced manual workload, faster operations, and improved conversion rates depending on implementation.

No. We design systems that are easy to operate while handling all technical complexity in the backend.

Most AI systems are deployed within 2–6 weeks depending on complexity.

Yes, we integrate with CRMs, APIs, databases, and your existing tech stack seamlessly.

Yes. We follow strict data handling practices and ensure secure infrastructure for all AI systems.

Ready to Build AI Systems?

Let's design your AI architecture together.

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