I will build an ai chatbot for your pdfs, documents and website


About this gig
AI PDF Chatbot
Ask Any Question from Your Documents
Powered by RAG + LLMs
I will build a custom RAG AI chatbot using LangChain, LLMs, vector databases, and your business or PDF documents.
This chatbot can answer questions from:
-> PDFs
-> research papers
-> internal company documents
-> websites
-> custom knowledge bases
-> databases
What you get:
-> LangChain-powered RAG pipeline
-> vector database integration (FAISS / Chroma / Pinecone)
-> PDF and document ingestion
-> conversational memory
-> LLM integration (OpenAI / LLaMA / Gemini / Claude)
-> authentication (optional)
-> source code with deployment support
This is ideal for startups, student projects, SaaS products, internal company assistants, and document Q&A systems.
I focus on scalable architecture, clean code, fast response quality, and reliable retrieval performance.
Get to know Divyansh
Tech Freak
- FromIndia
- Member sinceApr 2026
Languages
Hindi, English
FAQ
Which LLMs and vector databases do you support?
I support OpenAI GPT models, LLaMA, Gemini, Claude, and open-source Hugging Face models. For vector storage, I can use FAISS, ChromaDB, Pinecone, Weaviate, or PostgreSQL pgvector.
Can the chatbot work with PDFs and websites?
Yes, I can build chatbots that retrieve answers from PDFs, websites, research papers, internal company documents, and custom databases using RAG pipelines.
Will I get the source code and deployment support?
Yes, all packages include clean source code. Standard and Premium packages also include deployment guidance or deployment on cloud platforms if required.

