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In this video, I demonstrate how to add and connect Pinecone, the vector database, to ChatGPT via a custom action and a microservice built in Replit. This setup creates pseudo-infinite memory for your GPT. I'll guide you through the step-by-step process of integrating Pinecone with ChatGPT to enhance its memory capabilities. You'll learn how to leverage Pinecone's vector database for storing and retrieving data, creating a more robust and intelligent AI model. This tutorial is perfect for those looking to expand their GPT's functionality and achieve continuous, long-term memory in their AI applications.
#Pinecone #VectorDatabase #ChatGPT #Replit #InfiniteMemory #AIautomation #AItools #ArtificialIntelligence #OpenAI #TechTutorial #AIintegration #CustomGPT #gpt4turbo
TIMESTAMPS ⏳
0:00 - Introduction: Unlocking Unlimited Memory in GPTs
0:10 - Using Pinecone for Vector Database
0:20 - Example: Adding Knowledge to Pinecone
0:50 - Demo: Pinecone Console Data Verification
1:05 - Example: Deleting Knowledge from Pinecone
1:30 - Storing Multiple Items as Vectors
1:55 - Use Cases: Storing and Retrieving Knowledge
2:20 - Memory Bank vs. ChatGPT’s Built-In Memory
2:40 - Adding, Editing, Deleting Knowledge in GPT
2:55 - Custom GPT Setup: Adding Functions
3:10 - Custom Actions: Pinecone Data Management
3:30 - Replit Integration for GPT and Pinecone
3:45 - Replit Code: Configuring Pinecone with OpenAI
4:05 - Demo: Creating a New Index in Pinecone
4:20 - Pinecone Configuration in Replit
4:45 - Code Walkthrough: Retrieve, Add, Delete Data
5:00 - Vector Embedding and Query Functions Explained
5:15 - Example: Querying Data with Similarity Score
5:50 - Using and Deploying Replit Microservice
6:05 - Saving Data to Pinecone via GPT
6:25 - Modifying API Keys and Regions
6:50 - Tips: Deploying Reserve VM for Access
7:20 - Cost Overview: Pinecone, Replit, GPT Usage
7:40 - Expanding GPT with Memory Functions
8:00 - Using Custom GPT for Team Collaboration
8:15 - Conclusion: Unlimited Memory for
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