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I will build a custom ai chatbot with langchain rag
Vikant Sharma
About this gig
Are you looking to build an intelligent AI chatbot trained on your company's custom data, documents, or APIs? I will build and deploy a production-grade conversational AI assistant tailored to your exact business workflow.
What I Offer:
- Custom RAG Pipelines: Chat directly with your PDFs, CSVs, Notion pages, and private knowledge bases using LangChain and LlamaIndex.
- Vector Database Setup: Semantic retrieval and embedding storage using Chroma DB, Pinecone, FAISS, or PGVector.
- LLM Integrations: OpenAI (GPT-4o), Claude 3.5, or local open-source models via Ollama (Llama 3, Mistral).
- Full-Stack Application: Interactive, responsive chat interface built in React/TypeScript with a robust Node.js or Python backend.
- API & Tool Calling: Connect your AI agent to external REST APIs, CRMs, or SQL databases to trigger automated tasks.
Why Work With Me?
- Senior Full-Stack & AI engineer with enterprise production experience.
- Clean, modular, and fully documented source code.
- Enterprise security best practices to protect your proprietary data.
Please message me before placing an order so we can discuss your architecture, use case, and API requirements!
Get to know Vikant Sharma
Vikant Sharma
Full Stack Developer, Web and Mobile Apps, AI Driven
- FromIndia
- Member sinceAug 2020
- Avg. response time1 hour
Languages
Hindi, English
Hi! I am a Senior Full-Stack Engineer with 9+ years of experience building high-performance web, mobile, and AI solutions. I specialize in React, React Native, Node.js, and TypeScript, alongside modern AI integrations using LangChain, RAG pipelines, and OpenAI APIs. From complete MVPs and scalable architectures to bug fixes and automated workflows, I deliver clean, secure, and production-ready code fast. Reach out with your project requirements and let's get started!
My Portfolio
FAQ
What documents and file formats can the AI chatbot learn from?
The chatbot can ingest and query data from PDFs, Word docs (DOCX), CSV/Excel spreadsheets, TXT files, JSON, Notion pages, and markdown files using a LangChain RAG pipeline.
Do I need to provide my own API keys?
Yes, you will provide your own API key (e.g., OpenAI, Anthropic, or Pinecone) so you retain full control over billing and usage. If you prefer a local, private solution with zero API fees, I can set it up using Ollama with open-source models like Llama 3 or Mistral.
Can the chatbot be embedded directly into my existing website or app?
Absolutely. I can build a standalone embeddable chat widget, an API endpoint, or integrate the assistant directly into your existing React, Next.js, or mobile application.
Is my data private and secure?
Yes. Your data is never used to train public models. We use isolated vector embeddings and private API endpoints, ensuring your sensitive business documents remain confidential.
Are OpenAI or LLM API usage costs included in the gig price?
No, the gig covers architecture, custom code development, and system integration. You will connect your own API key (e.g., OpenAI, Anthropic, or Pinecone) and pay the provider directly based on your usage. For most small-to-medium use cases using modern models like GPT-4o-mini, API costs are minimal
Is it possible to run this chatbot without monthly API fees?
Yes! If you want to avoid third-party API subscription costs entirely, I can build your chatbot using local open-source models (such as Llama 3 or Mistral via Ollama) paired with local embedding models. This keeps your system completely private and 100% free of per-token API charges, provided your h
