Path to AI Engineering: Semantic Search
Автор: Andreas Kretz
Загружено: 2025-07-31
Просмотров: 2655
Описание:
Build a log query tool with qdrant, Streamlit & DuckDB in my new Academx course.
Why I’m changing up my YouTube content.
Sneak Peek into our new AI Engineering Track.
0:00 Channel direction change & showing behind the scenes
1:39 Semantic search course launch in AI engineering track
2:48 Project goal: log observability with natural language queries
3:14 System architecture: Python client, FastAPI, embeddings, Streamlit, DuckDB
4:05 Dockerized deployment & log inspector query example
5:01 Similarity retrieval and traditional SQL analytics comparison
6:06 Embeddings importance for natural language querying
6:58 LLM integration: Elasticsearch + Mistral via Olama pipeline
7:46 How semantic search, RAG, and agents build on each other + course link
*****
► Learn Data Engineering with my DATA ENGINEERING ACADEMY:
https://bit.ly/3R13ao0
► Grow your career and be part of my DATA ENGINEER COACHING program:
https://bit.ly/4f67pss
► AI FOR ENGINEERS - check out our new AI Engineering Track:
https://bit.ly/44WGI6z
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