Fireship

Vector databases are rapidly growing in popularity as a way to add long-term memory to LLMs like GPT-4, LLaMDA, and LLaMA. Learn how popular vector databases like Pinecone and Weaviate can store ML embeddings to integrate with tools like ChatGPT. #programming #tech #TheCodeReport 💬 Chat with Me on Discord https://discord.gg/fireship 🔗 Resources Full Vector DB tutorial coming soon on @beyondfireship Rektor https://github.com/codediodeio/rektor-db OpenAI Embeddings https://platform.openai.com/docs/guides/embeddings Weaviate GitHub https://github.com/weaviate/weaviate Chroma GitHub https://github.com/chroma-core/chroma 🔥 Get More Content - Upgrade to PRO Upgrade at https://fireship.io/pro Use code YT25 for 25% off PRO access 🎨 My Editor Settings - Atom One Dark - vscode-icons - Fira Code Font 🔖 Topics Covered - What is a vector in computer science? - VC funding of databases news - What are ML embeddings? - What is a vector database? - Vector database vs SQL - Are vector databases fast? - How to make custom chatGPT app - Vector database basics tutorial - Trending github repos about AGI