Cover Image for Natural Language 2 SQL/Cypher (Ft. Graphiti and dbt from Ponder Labs)

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Learn about an accurate, multi-tenant RAG solution based on low-latency, scalable graph database technology that integrates knowledge graphs with sparse matrices and GraphBLAS to improve performance.

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Natural Language 2 SQL/Cypher (Ft. Graphiti and dbt from Ponder Labs)

Name: Natural Language 2 SQL/Cypher (Ft. Graphiti and dbt from Ponder Labs)
Start: 2025-11-25T20:00:00.000+02:00
End: 2025-11-25T21:00:00.000+02:00
Location: https://us06web.zoom.us/j/89691392903

Graph & RAG Talks

https://us06web.zoom.us/j/89691392903

Past Event

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About Event

Creating and running quality queries from a conversation? Yes.

You need to devise a query to run against a database you've learned about during the on boarding process at your new job 10 minutes ago, or you're not "technical" yet still need relevant info in a format you can understand.

Text 2 [insert your wild desire here] isn't new. But using a graph to map out the database's schemas, and working correctly with an LLM to translate your text 2 a query sure is.

In this upcoming workshop, we want to take a closer look at this topic of Text2SQL, Text2Cypher, and DBT.

We'll cover:

Our "thesis" and approach to these problems
Graphiti (Zep) Introduction to graph-based memory
LIVE: Ponder.co Graph-Powered AI Chat for dbt
Q&A

♥️ We appreciate your feedback on our workshops so far!

Location