Single Agent (RAG-Enabled)
One functional AI agent with RAG-based retrieval, built using LangGraph, Langchain and FastAPI.
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5 Days
1 Day (...)
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I will develop an AI agent system using langgraph and fastapi and rag systems
Recently Online|12:40am local time
Single Agent (RAG-Enabled)
One functional AI agent with RAG-based retrieval, built using LangGraph, Langchain and FastAPI.
Delivery Time
5 Days
Package Includes: see all
Basic
(...)
Single Agent (RAG-Enabled)
One functional AI agent with RAG-based retrieval, built using LangGraph, Langchain and FastAPI.
Delivery Time
5 Days
Package Includes: see all
Standard
(...)
Premium
(...)
Service details
AI Agent Development with LangGraph and RAG
I build custom AI agent systems that can reason, use tools, retrieve information from your own data, and automate business workflows. Instead of delivering a simple chatbot, I build production-ready AI solutions designed for real-world use.
What You Will Receive
- A custom AI agent built with LangGraph, tailored to your business requirements
- A FastAPI backend that exposes the agent through a secure, production-ready API
- A Retrieval-Augmented Generation (RAG) pipeline connected to your documents or knowledge base, allowing the agent to generate accurate, context-aware responses
- Tool integration for external APIs, databases, or business systems when required
- Proper error handling, structured logging, and a clean project structure for maintainability
- Documentation explaining the architecture, setup process, and how to run the system
How This Helps Your Business
Your AI agent will answer questions using your own data instead of relying on generic knowledge. It can also perform multi-step reasoning, use external tools, and automate repetitive tasks, making it suitable for customer support, internal knowledge assistants, workflow automation, and business operations.
Every solution is built around your specific use case rather than using a one-size-fits-all template.
Development Process
I begin by understanding your business goals, workflow, and data sources. Based on your requirements, I design the agent's architecture, implement the reasoning workflow, integrate the required tools and data sources, and build the backend API.
Before delivery, I test the system to ensure it performs reliably and provide documentation so you can deploy, maintain, or extend it with confidence.
Who This Service Is For
This service is ideal for:
- Businesses that need AI agents powered by their own documents or knowledge base
- Startups building AI-powered products or internal tools
- Teams that want to automate business processes with intelligent agents
- Companies that have an existing AI prototype and need a more scalable, production-ready implementation
Communication
I provide regular progress updates throughout the project and explain technical decisions in clear, simple language. If I believe there is a better approach for your requirements, I will discuss it with you before implementation to ensure the final solution aligns with your business goals.
Key details
- Agent TypeResearch AgentCalendar/Email AgentWorkflow Orchestrator
- Action SpaceApis/ToolsDatabasesEmail/Calendar
- OrchestrationLanggraphOpenai Assistants API
- DeploymentServerlessContainerized
- LanguageEnglishHindiUrdu
Special note from freelancer
I build agents that actually run in production, not just demos. Every project includes clean, documented code, honest technical guidance, and direct communication if something needs to change before we build it.
Comparison
Production Agent System
Multi-step AI agent with RAG, custom logic, and a monitoring dashboard for performance tracking.
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14 Days
7 Days (...)
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- 3
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Multi-Agent Enterprise System
Complete multi-agent system with RAG, orchestration, monitoring dashboard, and deployment support.
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21 Days
14 Days (...)
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- 7
- 10
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FAQs
- No. I'll ask about your goals and data, then explain the technical approach in plain terms. You don't need to understand LangGraph or RAG internals — I handle the implementation.
Madan Lal
About Madan Lal
AI Engineer |Python Developer
AI Engineer building production RAG pipelines and multi-agent systems. I work end-to-end: FastAPI/Python backends, Next.js frontends, Qdrant for vector search, Celery/Redis for async processing, AWS deployment. I design multi-tenant architectures that scale, not demo-only prototypes. Direct communication , if something won't work, I'll say so before we build it. Looking for projects involving RAG chatbots, AI agents, or backend systems that need to actually ship.
AI Engineer building production RAG pipelines and multi-agent systems. I work end-to-end: FastAPI/Python backends, Next.js frontends, Qdrant for vector search, Celery/Redis for async processing, AWS deployment. I design multi-tenant architectures that scale, not demo-only prototypes. Direct communication , if something won't work, I'll say so before we build it. Looking for projects involving RAG chatbots, AI agents, or backend systems that need to actually ship.
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