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I will build a langchain rag ai agent with vector database and apis
Muhammad Owais
Level 1
À propos de ce service
Need a custom LangChain RAG AI agent that can answer from your documents, business data, website, PDFs, or knowledge base?
I will build a custom LangChain or LangChain.js RAG AI agent with vector database integration, accurate retrieval, source citations, and API-connected workflows.
This is not a basic chatbot script. I build custom-coded AI systems that can retrieve relevant context from your data, generate accurate answers, and connect with your app, dashboard, CRM, database, or business tools.
I can build:
- LangChain RAG AI agent
- Document Q&A chatbot
- PDF or website-trained assistant
- Knowledge-base AI agent
- AI agent with tool calling
- OpenAI, Claude, or Gemini integration
- Vector database setup with Pinecone, Supabase Vector, Qdrant, or Chroma
- Next.js, React, Node.js, and API-based AI apps
You will receive clean source code, RAG pipeline setup, embeddings, vector search, AI chat interface, prompt optimization, testing, documentation, and deployment support depending on your package.
Message me before ordering so I can suggest the best architecture for your project.
Découvrez Muhammad Owais
Muhammad Owais
Let's grow together
Level 1
- DePakistan
- Membre depuisfévr. 2022
- Temps de réponse moy.1 heure
- Dernière commande5 mois
Langues
Ourdou, Anglais, Français, Japonais
Hi, I’m Muhammad, an AI engineer who builds real AI products, not basic chatbots. I create RAG assistants that answer from your PDFs, docs, databases, and websites, AI agents that automate workflows, and LLM apps with dashboards, user roles, APIs, and vector search. Using OpenAI, Claude, Gemini, LangChain.js, Next.js, and Node.js, I help businesses turn messy data and manual tasks into reliable AI-powered systems.
Mon portfolio
FAQ
Do you work with LangChain.js?
Yes. I can build LangChain.js applications using JavaScript, TypeScript, Node.js, Next.js, and React.
Can you build a chatbot trained on my documents?
Yes. I can build a RAG chatbot that answers from PDFs, websites, documents, or business data.
Can you add source citations?
Yes. I can include citations so users can verify where the answer came from.
Can you connect the AI agent with APIs?
Yes. I can connect the agent with APIs, databases, dashboards, CRMs, or custom backend systems.
Do I need fine-tuning?
Usually no. For document Q&A and private business data, RAG is usually better, faster, and easier to update than fine-tuning.
