$5.00
Introduction
For those who want to build a Rag system using Pinecone and Python to create a fun and original ChatGPT/knowledge system.
This is a complete template for building an AI support bot based on your company's FAQs, knowledge, and technical documentation.
This product is a cutting-edge knowledge-response AI bot construction kit that combines Pinecone, OpenAI, and Retrieval-Augmented Generation (RAG).
Even without specialized knowledge, you can create your own "ChatGPT-type FAQ response system" by simply following the provided code and instructions.
For more information, please visit:
https://www.urata-soft.org/pinecone
For product-related questions or other inquiries, please feel free to contact us using this support form.
https://www.urata-soft.org/product
1. Intended Uses
- AI-enable internal documents and manuals
- Enable AI chat support for your company's FAQs and product knowledge
- Learn how to configure RAG for education and research
- Practice learning OpenAI API / Pinecone vector search
- Can also be incorporated into Wix and HTML pages
2. Included Contents
- Complete execution environment with Flask app (usable in a web browser)
- 4 Python scripts (embedded registration, vector search, Flask processing)
- Supports automatic library installation (requirements.txt)
- Includes .env templates for quick API key setup
3. Included PDF instruction manual (6 pages)
→ Complete guide from Pinecone setup / OpenAI key issuance / execution / web access
4. Operating Environment
- Python 3.10 or higher (Windows / Mac / Linux)
- OpenAI API key and Pinecone API key required (free tier available)
- Internet connection (for API connection)
5. Support/Operation
- Produced and provided by: Urata Soft
- For details and a list of products, please visit
https://www.urata-soft.org/
Github:https://github.com/NextGenAI-corder/Pinecone_Rag_OpenAI
6. Notes
This is an electronic product and returns are not accepted.
Use: Personal / Educational / Commercial PoC is permitted (resale and redistribution are not permitted).