I will create an ai document chatbot using rag and vector databases

A
abdulgaanni
A
abdulgaanni
abdulghani

About this gig

Transform your documents into an intelligent Q&A system that answers questions instantly with accurate, sourced responses.


I will build a custom document chatbot using RAG technology that processes PDFs, Word docs, and other files to provide precise answers to user questions.


WHAT YOU GET:

- RAG-powered document Q&A system

- Upload and process multiple document types

- Vector database for semantic search

- Source citations in every answer

- Admin dashboard for document management

- REST API for integration


PERFECT FOR:

- Legal document analysis

- Medical research databases

- Corporate knowledge bases

- Educational material Q&A

- Technical documentation search

- HR policy assistants


KEY FEATURES:

- Accurate answers with source citations

- Handle 100s to 100,000s of documents

- Sub-2-second response times

- Multi-document search

- Metadata filtering

- User analytics


TECH STACK:

Python, LangChain, OpenAI Embeddings, Pinecone/Weaviate, FastAPI, React, PostgreSQL


HOW IT WORKS:

1. You provide sample documents and requirements

2. I build the system architecture

3. You test and provide feedback

4. Final delivery with deployment


INCLUDED:

- Document processing pipeline

Get to know abdulghani

abdulghani

AI Engineer, RAG Chatbots, OpenAI, Claude

  • FromUnited Arab Emirates
  • Member sinceJun 2024
  • Avg. response time1 hour
  • Last delivery11 months
  • Languages

    English
I'm a Full Stack AI Engineer focused on building AI-powered web applications, RAG chatbots, and business automation solutions. I work with OpenAI, Claude, FastAPI, Laravel, Next.js, LangChain, PostgreSQL, pgvector, and FAISS to create scalable and reliable systems. My goal is to deliver clean, maintainable code and practical AI solutions that help businesses automate workflows, search documents intelligently, and improve productivity.

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