GraphStuff.FM: The Neo4j Graph Database Developer Podcast

GenAI solutions with LangChain: Lance Martin on LLMs, agents, evals, and more!

Feb 1, 2024

Expert Lance Martin explores GenAI solutions focusing on LLMs, agents, and evals. Topics include LangChain apps, RAG components, and optimizing retrieval processes. They also discuss tools like Streamlit, Olama, and the importance of Git for collaborative projects.

52:04

Creator website

Episode guests

Lance Martin

AI Summary

AI Chapters

Episode notes

Podcast summary created with Snipd AI

Quick takeaways

LLMs are crucial in connecting to external data sources like GraphDBs for enhanced functionality.

RAG evolves LLMs from text processing to general computing engines, bridging external data connections.

Langchain simplifies LLM building block composition, enabling seamless integration and versatile chain deployment.

Deep dives

Introduction of Lance and His Journey to Langchain

Lance, a software engineer, shares his transition from working on self-driving cars to joining Langchain. Intrigued by the capabilities of LLMs, Lance delves into building RAG apps and explores Langchain. With various rag apps like Lex GPT and others, he showcases his innovative projects.

Intro

4min

Exploring RAG, LangChain, LangSmith, and LangServe in AI Development Frameworks

18min

Optimizing Retrieval and Evaluation in LangChain Expressions

20min

Exploring Streamlit and Olama Tools

3min

Exploring the Basics of Git for Collaborative Code Projects

2min

Concluding Remarks on RAG, LLM, and Events in the Neo4j Ecosystem

5min

Tools of the Month:
- Streamlit https://streamlit.io/
- Ollama https://ollama.ai/
- Git https://git-scm.com/
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
Articles:
- Why Vector Search Didn’t Work for Your RAG Solution? https://neo4j.com/developer-blog/why-vector-search-didnt-work-rag/
- 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
Videos:
- NODES 2023 playlist https://youtube.com/playlist?list=PL9Hl4pk2FsvUu4hzyhWed8Avu5nSUXYrb&si=8_0sYVRYz8CqqdIc
Events:
- (Feb 5) Conference (Stockholm, Sweden): JFokus https://neo4j.com/event/jfokus-2024/
- (Feb 8) Meetup (Kansas City, MO): Improved Results with Vector Search in Knowledge Graphs https://neo4j.com/event/improved-results-with-vector-search-in-knowledge-graphs/
- (Feb 13) Meetup (Brisbane, Australia): Graph Database Brisbane https://neo4j.com/event/graph-database-brisbane-meetup-feb-edition/
- (Feb 21) Meetup (virtual): Hallucination-Free Zone: LLMs + Graph Databases Got Your Back! https://neo4j.com/event/hallucination-free-zone-llms-graph-databases-got-your-back/
- (Feb 22) Conference (London, UK): GraphSummit London https://neo4j.com/event/graphsummit-london-feb24/
- (Feb 22) Conference (San Francisco, CA): DeveloperWeek https://neo4j.com/event/developerweek/
- (Feb 23) Meetup (Bangalore, India): Hands-on workshop on GenAI Stack https://neo4j.com/event/hands-on-workshop-on-gen-ai-stack/
- (Feb 28) Conference (Amsterdam, Netherlands): DevWorld 2024 https://neo4j.com/event/devworld-2024/

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GraphStuff.FM: The Neo4j Graph Database Developer Podcast

GenAI solutions with LangChain: Lance Martin on LLMs, agents, evals, and more!

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

Deep dives

Introduction of Lance and His Journey to Langchain

The Evolution of LLMs and Their Integration into Operating Systems

Challenges and Importance of Connecting LLMs to External Data Sources

Langchain: A Framework for LLM Application Development

Langsmith and LangServe: Enhancing Development and Deployment Processes

Remember Everything You Learn from Podcasts