LangChain and Weaviate with Harrison Chase and Bob van Luijt - Weaviate Podcast #36

Hey everyone! Thank you so much for watching the 36th episode of the Weaviate podcast! This episode continues on the marriage between LLMs and Semantic Search, welcoming back Weaviate CEO and Co-Founder Bob van Luijt! Enter LangChain and its creator, Harrison Chase, providing the glue between LLMs and tools, such as semantic search. LangChain provides a set of abstractions around chaining multiple language model calls with different prompts, strategies for overcoming the 4096 token limit, and connecting LLMs with their tools. LangChain Hub is a collection of these chains if you want to check it out yourself! Huge thank you to Harrison and Bob for joining the podcast, this was such an information packed podcast with some great predictions for the future of LLMs + Vector Databases!   Check out LangChain here! https://langchain.readthedocs.io/en/latest/ Chapters 0:00 Welcome 0:14 Origin Story of LangChain 1:27 What are LLM Chains? 4:00 Adding Weaviate Search 7:30 LLM Orchestration and Tool Use 11:24 Extension to Multi-Modal 14:00 Natural Language Interaction with Software 20:36 Will Prompt Engineering Last? 21:00 More on Tool Use 25:47 Favorite Prompts 29:54 Temperature in LLMs 31:00 Reasoning and Knowledge 32:50 LLM as Router 35:50 Model Diversity 39:45 No GPUs before PMF 41:35 Virality of LangChain 43:40 Future of LangChain