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

A
abdulgaanni
A
abdulgaanni
abdulghani
create an ai document chatbot using rag and vector databases
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create an ai document chatbot using rag and vector databases

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


  • Bot type

    • Customer Service & Support
    • Social Media & Content
    • Entertainment & Gaming
    • Travel & Transportation
    • News & Information Updates
    • Survey & Feedback Collection
    • Real Estate Assistance

  • AI engine

    • Open AI GPT
    • LangChain
    • TensorFlow
    • Claude.ai
    • ChatGPT
    • Ollama

  • Programming language

    • Python
    • React

  • Tools & frameworks

    • ManyChat

  • Platforms

    • WhatsApp
    • Telegram
    • Instagram
    • Websites
    • Mobile Apps

Get to know abdulghani

abdulghani

AI Chatbot Developer RAG LangChain and LLM Integration Specialist

  • FromUnited Arab Emirates
  • Member sinceJun 2024
  • Avg. response time1 hour
  • Last delivery8 months

  • Languages

    English
I build production-ready AI chatbots that turn your data into intelligent assistants. Specializing in RAG systems and LLM integrations using LangChain, OpenAI, and Claude for accurate responses from your PDFs, websites, and databases. Recent results: 60% reduction in support costs, 50K+ documents processed with sub-2s response times, 92% user satisfaction. Tech stack: Python, FastAPI, React, Pinecone, PostgreSQL, vector databases. I work with SaaS, e-commerce, and enterprises needing smart automation solutions. You'll get clean code, fast delivery, and reliable communication.

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