Published On Apr 20, 2024
File Search augments the Assistant with knowledge from outside its model, such as proprietary product information or documents provided by your users. OpenAI automatically parses and chunks your documents, creates and stores the embeddings, and use both vector and keyword search to retrieve relevant content to answer user queries.
#openai #openaiassistant #chatgpt4 #filesearch #rag #pinecone #vectordatabase
📚 Learn Python & AI in my skool community:
https://www.skool.com/customgptaaa
🤝 Get A FREE Quote For An End-To-End AI Software/App: hhttps://calendly.com/connect_imtiazh/...
🤝Linkedin: / hasanimtiaz
My Links 🔗
👉 Subscribe: / @customgpt.aiacademy
👉 Instagram: customgptaaa
👉 Tiktok: customgpt_aiaa
Resources/Links Mentioned:
👉Download the notebook from the resource
https://www.skool.com/customgptaaa
Don't forget to like, share, and subscribe to support the channel
About Me 🙋♂️
Hello, I'm Imtiaz, a seasoned expert in data science, AI development, and prompt engineering. My mission is to empower your projects with Custom-GPT solutions. Whether you're looking to build, deploy, or sell GPT chatbots with no code/low code expertise, I'm here to partner with you. Let's leverage my extensive experience to elevate your projects, transforming innovative ideas into practical, profitable solutions. Join me in navigating the exciting world of AI and let's create something remarkable together.
Chapters:
0:00 Intro
1:05 What is RAG?
3:24 Keyword Search Vs Semantic Search
5:11 Semantic Search with Vector Database
7:59 Open AI Documentation
9:21 File Search Assistant Integration Python
13:14 Outro