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$
USD
I will build a professional rag ai with django
Daniel S
About this gig
Stop your AI from hallucinating. Standard ChatGPT doesn't know your business. I bridge that gap.
Looking to integrate machine learning models (like OpenAI/ChatGPT, Anthropic) with your own proprietary data? Standard AI models are sometimes inaccurate or lack specific information about your business. I specialize in building Retrieval-Augmented Generation (RAG) APIs using Python, the Django REST Framework, and robust vector databases.
What I offer in this service:
- Data ingestion pipelines: I extract text from PDFs, CSV files, or websites and convert it into vector embeds.
- Vector database setup: Architecture with PostgreSQL (pgvector) or ChromaDB.
- Custom machine learning model integration: Integration with LangChain/LlamaIndex to generate accurate and contextual responses.
- Secure REST APIs: Clean, documented (Swagger), and secure endpoints, ready to be used by your frontend or mobile application.
My tech stack: Python, Django, DRF, PostgreSQL, Neon DB, LangChain, OpenAI API.
️Important: Please message me BEFORE placing your order to discuss your specific data sources and business requirements, and to find the best price for both of us. Let's build a scalable AI solution!
Get to know Daniel S
Daniel S
Full Stack Web Developer Django rest Specialist
- FromVenezuela
- Member sinceJan 2026
- Avg. response time1 hour
Languages
English, Spanish
"Hi! I'm a Full Stack Developer passionate about creating modern, functional, and scalable web applications. I have experience working with technologies like React, Node.js, Django REST, and SQL/NoSQL databases. My main focus is writing clean code and optimizing the user experience. I've developed several personal projects, which you can see in my portfolio, always prioritizing efficiency and responsive design. I'm here to help you turn your ideas into digital realities with commitment and constant communication. Let's work together!"
My Portfolio
FAQ
Do you cover the costs of the OpenAI API or hosting servers?
No. The pricing for this Gig covers the architecture, development, and deployment of the backend. You will need to provide your own API keys (OpenAI, Anthropic, etc.) and create accounts for the database/hosting services (like Neon DB, AWS, or Railway). I will guide you through this setup process.
Is my proprietary business data safe and private?
Absolutely. By using a custom RAG architecture with PostgreSQL (pgvector) or ChromaDB, your data is isolated. Unlike the free web version of ChatGPT, data sent via the official OpenAI API is not used to train their public models, ensuring your business intelligence remains confidential.
What do I need to provide to get started?
To begin, I need a clear explanation of your use case, the data sources you want to ingest (PDFs, CSVs, exact URLs for scraping), and the API keys for the LLM of your choice. A brief discussion of your current tech stack is also highly recommended.
How will you deliver the final product?
I deliver clean, fully commented Python/Django source code. Depending on the package you choose, I can deploy the API directly to your cloud provider (Railway, Render, etc.). All endpoints will be thoroughly documented using Swagger UI.
Can this API be easily integrated into my existing frontend or mobile app?
Yes. The output is a standard RESTful API returning structured JSON responses. Whether your frontend team uses React, Vue, or you are building a mobile app with React Native, integrating these endpoints will be straightforward and standard.
What happens if my documents update or change over time?
The API is designed with endpoints specifically for data ingestion. You (or your admin system) can hit these endpoints to upload new PDFs or text, and the system will automatically vectorize the new information and update the database, keeping your AI's knowledge completely up to date.
