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English
$
USD
I will convert raw data into openai embeddings and upload to pinecone
Suhail Ahmad
Level 2
About this gig
Build the foundation for your AI Chatbot or Semantic Search.
For your RAG application to work, your AI needs access to your data. To make data searchable by LLMs like ChatGPT, it must be converted into embeddings and stored in a vector database.
As a Senior AI Engineer, I will process your structured data through OpenAI and securely ingest it into your Pinecone database so your applications can instantly retrieve it.
What this gig includes:
- Parsing structured data (CSV, Excel, JSON, SQL) up to 100K rows.
- Mapping columns to Text and Metadata fields for filtering.
- Generating dense vectors using OpenAI embeddings.
- Upserting the payload into your Pinecone index.
- Handling API rate limits and batching.
- Premium package includes full Python script handover for future use.
Important Requirements:
You must provide your OpenAI and Pinecone API keys so you retain full ownership of your data.
This gig is strictly for structured data with short-to-medium text.
For massive documents requiring text-chunking or fine-tuning, please message me for a quote.
Message me before ordering!
Get to know Suhail Ahmad
Suhail Ahmad
Full Stack WordPress Developer specialized in scraping automation and AI
Level 2
- FromPakistan
- Member sinceNov 2020
- Avg. response time1 hour
- Last delivery2 weeks
Languages
English
I hold a B.Sc Degree in Computer Science and have 15+ years of experience in Programming, Web Development, and Data Management. I have worked on a wide range of projects related to WordPress, WooCommerce, automation, web scraping, and large-scale data handling for eCommerce, real estate, and other data-driven platforms. I focus on delivering reliable solutions with clear communication and long-term support.
My Portfolio
FAQ
Who pays for the API costs?
You do. You will need to provide your own OpenAI and Pinecone API keys when placing the order. This ensures all your data, usage history, and billing remain securely on your own accounts.
Which embedding model do you use?
I default to OpenAI text-embedding-3-small because it offers the best balance of high performance and low cost. If you need a different model or vector dimension, just let me know before ordering.
What happens to the other columns in my CSV?
They are saved as metadata. The column with your main text is converted into the searchable vector, while columns like Price, URL, Category, or Date are attached as metadata filters so your AI can run advanced searches.
Do you build the actual AI chatbot frontend?
No, this gig is strictly for backend Data Ingestion to prepare your database. If you also need a custom chatbot UI or an API endpoint built to query the data, message me for a custom Full-Stack development quote.
Do you handle massive documents like PDFs or books?
This standard gig is for structured CSV, Excel, or JSON data with short-to-medium text. Large unstructured documents require advanced text chunking and overlap logic. Please message me with your files for a custom quote on large documents.
