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 https://twitter.com/karpathy/status/1707437820045062561?s=20
* LangChain and LangServ Templates Apps (Neo4j example) https://www.youtube.com/watch?v=OV2ZIWFBe0s, https://docs.google.com/presentation/d/1J4h4oGXORtiz1nhHfSF-UtvtlqkfHByD0v2MOwKXBwY/edit#slide=id.g265aec74fa4_0_353
* Components of RAG https://docs.google.com/presentation/d/10vojKKq-6li4JBEIx0hDCvbMkPGzMd3J_xnrRxyk6gc/edit#slide=id.g2667b2f6516_0_14
* Motivation for graph RAG https://www.glean.com/blog/how-to-build-an-ai-assistant-for-the-enterprise
* Evaluation https://docs.smith.langchain.com/category/testing--evaluation
Tools of the Month:
* Streamlit https://streamlit.io/
* Ollama https://ollama.ai/
* Git https://git-scm.com/
Articles:
* Why Vector Search Didn’t Work for Your RAG Solution? https://bit.ly/4csMC0e
* YouTube Transcripts Into Knowledge Graphs for RAG Applications https://medium.com/neo4j/youtube-transcripts-knowledge-graphs-for-rag-applications-2cc790543d4b
* NeoDash 2.4: Unleashing the Power of Neo4j Graph Dashboards https://medium.com/neo4j/neodash-2-4-unleashing-the-power-of-neo4j-graph-dashboards-52766f0188dc
* Building a Graph+LLM Powered RAG Application from PDF Documents https://medium.com/neo4j/building-a-graph-llm-powered-rag-application-from-pdf-documents-24225a5baf01
* Unlocking DAGs in Neo4j: From Basics to Critical Path Analysis https://medium.com/neo4j/unlocking-dags-in-neo4j-from-basics-to-critical-path-analysis-792cc8a04ff1
*GenAI:
GenAI Ecosystem: https://bit.ly/4cpAY6D
Videos:
* NODES 2023 playlist https://youtube.com/playlist?list=PL9Hl4pk2FsvUu4hzyhWed8Avu5nSUXYrb&si=8_0sYVRYz8CqqdIc
Events:
* Full Neo4j event list: https://bit.ly/3Lb1Kn3