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Fiverr Pro
English
$
USD
I will build ai agents and rag pipelines using langgraph and langchain
Saqlain
About this gig
Most AI systems fail in production not because the model is bad, but because the system around it wasn't built to handle real data and real edge cases.
I build AI agents and RAG pipelines designed from the ground up to work under real conditions.
WHAT I BUILD
RAG Pipelines connect your LLM to your own documents, databases, or URLs with semantic chunking, vector search, and reranking.
Corrective RAG (CRAG) evaluates retrieval quality before passing context to the model. If retrieved data is weak, it triggers a fallback instead of hallucinating. Used this to improve AI accuracy by 40% on a production platform.
LangGraph Agents stateful, multi-step reasoning agents that use tools, make decisions, and handle complex workflows.
LLM Integration OpenAI GPT-4o, Anthropic Claude, Google Gemini, properly integrated into your stack.
WHAT YOU GET
Clean, documented source code Production-ready deployment System that works in real conditions, not just a notebook
Message me before ordering describe your problem and I'll tell you exactly which package fits and what's realistic.
Get to know Saqlain
Saqlain
Backend and AI Engineer LangGraph Agents RAG Pipelines
- FromPakistan
- Member sinceApr 2025
- Last delivery11 months
Languages
Urdu, English
I build production-grade backends and AI systems that actually scale.
3+ years engineering at a tech company and independently — working at the intersection of serious backend infrastructure and modern agentic AI.
Backend: FastAPI, Django, Node.js, PostgreSQL, Redis, WebSockets, AWS, Docker.
AI: LangGraph agents, Corrective RAG, vector search, OpenAI, Anthropic, Gemini.
Shipped results:
→ 40% accuracy boost via CRAG pipeline
→ 70% DB load cut with Redis Write-Behind caching
→ AI meeting assistant for 60+ min recordings
Reliable systems, clean code, real outcomes. Let's build.
My Portfolio
FAQ
Q1: What is an AI agent and what can it do?
An AI agent is a smart system built with LangChain and GPT that can perform tasks like chatting, knowledge retrieval, data processing, and workflow automation. It can handle simple or multi-step tasks depending on the package.
Q2: Can you train the AI agent on my own data?
Yes! I can perform fine-tuning and integrate your data into the AI agent for accurate, context-aware responses. Your private data remains secure.
Q:3 What platforms can the AI agent run on?
Your AI agent can run on web apps, APIs, local scripts, or cloud deployment depending on your requirements. I provide deployment instructions or full deployment for premium packages.
Q4: What is RAG and vector database integration?
RAG (Retrieval-Augmented Generation) allows the AI agent to fetch answers from your data using vector databases like Pinecone, Weaviate, or Qdrant. This improves knowledge retrieval and AI accuracy.
Q5: Can the AI agent use multiple tools or APIs?
Yes! For standard and premium packages, your agent can integrate with multiple tools, APIs, and databases to automate workflows and provide enhanced functionality.
