GenAI solutions with Langchain: Lance Martin on LLMs, agents, evals, and more!
Welcome back, graph enthusiasts, to GraphStuff.fm, a podcast all about graphs and graph-related technologies! I'm your host, Jennifer Reif, and I am joined today by Andreas Kollegger….AND we have a great guest today. Joining us is Lance Martin, a software engineer at LangChain working on the open source library.
Show Notes
Speaker Resources:
- LLMs as kernel of a new kind of OS (opens in a new tab) twitter.com
- LangChain and LangServ Templates Apps (Neo4j example) youtube.com/watch?v=OV2ZIWFBe0s (opens in a new tab), docs.google.com/presentation/d/1J4h4oGXORtiz1nh… (opens in a new tab)
- Components of RAG (opens in a new tab) docs.google.com
- Motivation for graph RAG (opens in a new tab) glean.com
- Evaluation (opens in a new tab) docs.smith.langchain.com
Tools of the Month
Articles
- Why Vector Search Didn’t Work for Your RAG Solution? (opens in a new tab)
- YouTube Transcripts Into Knowledge Graphs for RAG Applications (opens in a new tab)
- NeoDash 2.4: Unleashing the Power of Neo4j Graph Dashboards (opens in a new tab)
- Building a Graph+LLM Powered RAG Application from PDF Documents (opens in a new tab)
- Unlocking DAGs in Neo4j: From Basics to Critical Path Analysis (opens in a new tab)
*GenAI
Videos
Events
GenAI & GraphRAG





