Join Software Engineer Karim Lalani and our own Alessandro Pireno as they delve into why ML developers are drawn to SurrealDB. Hear Karim discuss his innovative demo on creating an AI Fashion Assistant, and explore the synergy between SurrealDB and large language models (LLMs). Learn about Karim's integrations: the SurrealDB Document Loader and the SurrealDB Vector Store for LangChain, which enhance the capabilities of Generative AI applications. Get an inside look at cutting-edge technology from a standout participant in the NVIDIA Gen AI Contest. Resources mentioned during the stream: SurrealDB: https://surrealdb.com SurrealDB Cloud: https://surrealdb.com/cloud LangChain: https://www.langchain.com LangChain Repo: https://github.com/langchain-ai/langchain SurrealDB LangChain connector: https://python.langchain.com/v0.2/docs/integrations/vectorstores/surrealdb Today’s GitHub repo: https://github.com/lalanikarim/style-guide-ai-assistant LangChain Knowledge Graph Store Docs https://python.langchain.com/v0.2/docs/how_to/graph_constructing/ Agent Graph checkpointing Docs https://langchain-ai.github.io/langgraph/how-tos/persistence/ Running Gemini Nano in Browser using LangChain and ChromeAI https://js.langchain.com/v0.2/docs/integrations/llms/chrome_ai NVIDIA NIM Playground: https://build.nvidia.com/explore/discover Meetup: Here’s an awesome LangChain Resource in Central TX: https://www.meetup.com/austin-langchain-ai-group