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