🔑 Integrating Weaviate embeddings with Super AGI as custom knowledge.
📝 Logging in to Weaviate and accessing the dashboard to create a cluster and obtain API key and URL.
💻 Installing required packages and authorizing Weaviate configuration using API key and URL.
💡 The video is about creating and hosting a custom knowledge embeddings using Weaviate vector DB.
📄 The process involves checking the connection, creating the embeddings for text chunks, and inserting the embeddings to a class in Weaviate.
🔍 Validation of the data can be done by checking the vectors.
🔑 Weaviate allows for the creation and hosting of custom knowledge embeddings.
📚 Integration with Super AGI allows for the addition of a vector database.
✅ Registering custom knowledge in Weaviate is a simple process.
📚 Creating & hosting a custom knowledge embeddings using Weaviate vector DB
🔍 Selecting knowledge through a drop-down menu
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