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Fiverr Pro
English
$
USD
I will build a custom rag chatbot using openia, pinecome and python
Jonnathan R.
About this gig
Welcome to my professional AI development service!
Are you looking to unlock the hidden value in your company's documents, databases, or customer support history? I will build a custom, high-performance RAG (Retrieval-Augmented Generation) Chatbot tailored specifically to your business needs using OpenAI LLMs, Python, and advanced Vector Databases.
Instead of generic AI responses, your chatbot will answer questions based strictly on your private data (PDFs, TXT, CSV, or SQL databases) with extreme accuracy and minimal hallucinations.
What I can do for you:
- Complete RAG Pipeline Architecture: Semantic search setup using LangChain or LlamaIndex.
- Vector Database Indexing: Efficient data storage and embedding management using Pinecone or ChromaDB.
- LLM Integration: Connecting state-of-the-art models (GPT-4, Claude) via official APIs.
- Interactive Web Interfaces: User-friendly frontend deployment using Streamlit or Gradio.
- Clean & Documented Code: Production-ready Python scripts with detailed comments.
Why work with me?
As a specialized Data Engineer, I don't just write AI prompts. I understand how to clean, structure, and optimize your data pipelines.
Get to know Jonnathan R.
Jonnathan R.
Transforming complex data into intelligent AI driven solutions
- FromCanada
- Member sinceJan 2024
Languages
English, Spanish, French
I'm a Data Engineer with a passion for turning data into practical solutions. I build ETL pipelines, design data warehouses, optimize SQL databases, and develop AI applications, including custom RAG chatbots powered by OpenAI models and vector databases like Pinecone and Chroma. I focus on delivering scalable, reliable solutions that help businesses automate processes and get more value from their data.
FAQ
Do I need to provide my own OpenAI and Pinecone API keys?
Yes. For development and security reasons, you will need to provide your own API keys. I will guide you step-by-step on how to generate them safely. All platform consumption costs are covered by the buyer.
What file formats do you support for the RAG chatbot?
I can process and index a wide variety of formats, including PDFs, TXT, CSV, JSON, and Markdown files, as well as direct connections to SQL databases depending on the package you choose.
