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$
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I will integrate rag based agentic ai chatbot in your application
anandroy405
About this gig
Build a custom RAG-powered Agentic AI chatbot that delivers accurate, context-aware responses using your business data.
I develop AI chatbots powered by modern LLMs and Retrieval-Augmented Generation (RAG). Your chatbot can be trained on PDFs, websites, databases, CRMs, Notion, Google Drive, APIs, and other knowledge sources to provide reliable answers and automate business workflows.
What I Offer
- Custom RAG AI chatbot development
- Agentic AI with API and tool integration
- GPT-4, Claude, Gemini, Llama, Mistral, and open-source LLM support
- Vector database setup with Pinecone, ChromaDB, Weaviate, Qdrant, or FAISS
- Integration into your web app, SaaS platform, or internal tools
- Deployment assistance and complete source code ownership
Perfect For
Customer support, SaaS products, internal knowledge assistants, enterprise AI, workflow automation, and AI-powered business applications.
I focus on building secure, scalable, production-ready AI solutions with clean code, fast communication, and reliable post-launch support. Contact me before ordering to discuss your project and the best solution for your business.
Get to know anandroy405
anandroy405
Transform
- FromIndia
- Member sinceOct 2021
- Last delivery4 years
Languages
Hindi, English, Spanish, French
Software Engineer with 5+ years building internal platforms, backend services, and developer tooling used across the organization. Shipped REST APIs, microservices, and CI/CD pipelines in Python, Node.js, and React with additional depth in LLM-powered applications, vector search, and data pipelines. Comfortable taking ownership from design through deployment, with experience writing technical documentation, onboarding guides, and automated test coverage for production systems.
My Portfolio
FAQ
What kind of AI chatbot will you build?
I build custom AI chatbots powered by LLMs with RAG (Retrieval-Augmented Generation). The chatbot is trained on your business data to provide accurate, context-aware responses instead of hallucinating.
Can the chatbot be trained on my own data?
Yes. I can integrate your PDFs, Word documents, websites, databases, APIs, Notion, Google Drive, Confluence, and other knowledge sources.
Which LLMs do you support?
I can integrate OpenAI (GPT-4.1), Claude, Gemini, Llama 3.x, Mistral, DeepSeek, and other compatible LLMs depending on your requirements and budget.
Can you integrate the chatbot into my existing application?
Absolutely. I can integrate the chatbot into your web application, SaaS platform, CRM, customer portal, or internal tools using APIs or custom backend integration.
Will the chatbot use my latest documents automatically?
Yes. I can build automated document synchronization so your chatbot always uses the latest information from your knowledge base.
Do you support vector databases?
Yes. I work with Pinecone, Weaviate, ChromaDB, FAISS, Qdrant, Milvus, and other vector databases based on your project requirements.
Can the chatbot connect to external APIs?
Yes. I can integrate third-party APIs, internal APIs, payment systems, CRMs, ERP systems, and custom business tools.
Is my data secure?
Yes. Your data remains confidential. I follow secure development practices and can implement authentication, access control, and private deployments where required.
What do I need to provide before we start?
Typically, I'll need: Your knowledge sources (documents, website, database, etc.) API documentation (if integrations are required) Access credentials (when necessary) A brief description of your use case
Do you provide deployment support?
Yes. I can deploy the solution on cloud platforms, VPS, Docker, or your own infrastructure and ensure everything is working correctly.
