~/talk

Making OSS AI Real with Knowledge Graphs

Talkat PyData NYC 2024 · 2024-11-06..11-08· [large-language-models]
links:none on file
slides:none on file

Clear claim: combining Knowledge Graphs with retrieval (the GraphRAG pattern) gives grounded, long‑range context that pure vector RAG misses. Concrete tools and artifacts shown: Neo4j integration, LangChain and LlamaIndex connectors, the open‑source LM Graph Builder, SEC/EDGAR notebooks and a Graph Academy course. Surprising data point: an open‑source component reportedly hit 1.5 billion machines were updated. Emphasis on human‑validated facts and demos that build and query graphs, not just slides about theory.

AI-written summary · about

  1. 0:00Knowledge graphs and OSS AI
  2. 7:08What are knowledge graphs
  3. 10:19Graph RAG vs vector RAG
  4. 13:27Open Source Science KG
  5. 18:47Financial forums graph RAG
  6. 24:08OSS ecosystem for graph RAG
  7. 32:13Resources for KG development
  8. 35:29Q&A
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