Vector search is everywhere right now, but is it always the right tool for the job? Actually, no
If you need to find a specific Trace ID or error code buried in 100 million log rows, you don't want an AI model guessing what's "conceptually similar." You need absolute precision.
In my latest Medium post, I break down why Databricks Full Text Search is the unsung hero for log analysis and exact-match queries.
Here is what’s inside:
🔍 Lexical vs. Semantic: Exactly when to use which for your data architecture.
⚡ Zero Overhead: Why skipping embeddings saves you time and compute costs.
🛠️ Hands-on Code: Building a LangChain AI Agent with PySpark to instantly search 100k synthetic logs.
Are you still using exact keyword matching in your workflows, or has your team gone all-in on vector search? Let me know below! 👇
#Databricks #DataEngineering #LangChain #PySpark #AI
https://medium.com/@shamen1209/demystifying-databricks-full-text-search-its-not-vector-search-and-th...
