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I will build a rag chatbot for your pdfs and documents
Jonnathan R.
About this gig
I will build a custom RAG chatbot that lets you search, ask questions, and get grounded answers from your own business documents and data.
Your chatbot can work with PDFs, TXT files, CSV data, knowledge bases, and selected database sources. The system retrieves relevant information from your content before generating a response.
Depending on your package, I can help with:
- RAG pipeline setup
- Vector database integration
- GPT, Claude, or Llama models
- Pinecone or ChromaDB
- Python backend development
- Streamlit or Gradio interface
- API or database integration
- Source code and documentation
Useful for document search, internal knowledge bases, customer support, employee assistants, research workflows, and business information retrieval.
My background in data, reporting, and automation helps me focus on how your information is structured, processed, and retrieved.
Please message me before ordering so we can confirm your data sources, privacy needs, integrations, and the right package.
Get to know Jonnathan R.
Jonnathan R.
Data Engineer, Python, SQL, RAG Chatbots and AI Automation
- FromCanada
- Member sinceJan 2024
- Avg. response time1 hour
Languages
English, Spanish, French
I'm a Data Engineer focused on turning complex data into practical, reliable solutions. I build ETL pipelines, optimize SQL databases, automate workflows with Python, and develop AI applications such as custom RAG chatbots powered by OpenAI and vector databases like Pinecone and Chroma.
I can help businesses organize their data, automate repetitive processes, connect different data sources, and build AI tools that work with PDFs, CSV files, databases, and internal documents.
My goal is to deliver clean, scalable solutions with clear communication and reliable results.
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Other AI Development Services I Offer
FAQ
Do I need to provide my own AI model or vector database API keys?
If your project uses paid external services, you may need to provide your own API keys or accounts. I will let you know exactly what is required before starting. I do not ask you to share passwords, and access should be limited to what is necessary for the project.
What file formats do you support for the RAG chatbot?
I can work with common business data sources such as PDFs, TXT files, CSV files, FAQs, website content, and selected database sources. If you use a different format, please message me before ordering so I can confirm compatibility.
Can you use Claude or Llama instead of OpenAI?
Yes. Depending on your requirements, the solution can use GPT, Claude, Llama, or other supported models, including privacy-focused deployment options.
Can the chatbot work with private business documents?
Yes. The chatbot can be designed to use your private knowledge sources. The deployment approach can also be adapted based on your privacy and security requirements.
Do you provide source code?
Yes. Source code is included according to the selected package, with clear comments and documentation.
