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Bringing structure to chaotic, heterogeneous data is critical for fueling effective applications. This talk will show how to leverage LangChain in a Python application to take assorted file types and build a unified knowledge graph stored in a Neo4j database.
Key takeaways will include:
- How to ingest/import varied data file types
- Structuring/organizing data into a graph database
- Using Langchain, GraphQL, or Cypher to use this data
Speaker: Jason Koo
