💻 Welcome to the "Building Applications with Vector Databases" course! This course, instructed by Tim Tully, Board member at Pinecone, will teach you how to leverage vector databases to build a variety of applications quickly and efficiently.
Course Website: 📚deeplearning.ai
In this course, you will explore the implementation of six applications using vector databases. Here's what you can expect to learn and experience:
- 🔍 Semantic Search: Create a search tool that focuses on the meaning of content for efficient text-based searches on a user Q/A dataset.
- ⚙️ Retrieval Augmented Generation (RAG): Enhance your LLM applications by incorporating content from external sources like the Wikipedia dataset.
- 🛒 Recommender System: Develop a system that combines semantic search and RAG to recommend topics, demonstrated with a news article dataset.
- 🌐 Hybrid Search: Build an application for multimodal search using both images and descriptive text, demonstrated with an eCommerce dataset.
- 😊 Facial Similarity: Create an app to compare facial features using a database of public figures to determine likeness.
- 🚨 Anomaly Detection: Build an app to identify unusual patterns in network communication logs.
- 🛠 Learn to create six exciting applications of vector databases and implement them using Pinecone.
- 📸 Build a hybrid search app that combines both text and images for improved multimodal search results.
- 😃 Learn how to build an app that measures and ranks facial similarity.
🌟 Tim Tully is a board member at Pinecone and brings extensive expertise in vector databases to guide you through building various applications.
🔗 To enroll in the course or for further information, visit deeplearning.ai.