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Премиум
  1. Урок 1. 00:00:44
    Intro
  2. Урок 2. 00:03:08
    Getting Started: Semantic Search for Your Logs
  3. Урок 3. 00:03:50
    Dissecting the Pipeline Monitor Architecture: FastAPI, Qdrant & DuckDB
  4. Урок 4. 00:03:28
    Beginner’s Guide to Qdrant Collections and Similarity Search
  5. Урок 5. 00:02:55
    Your First Glimpse at the Project Code Structure on GitHub
  6. Урок 6. 00:04:37
    Building and Launching the Pipeline with Docker Compose
  7. Урок 7. 00:01:42
    Writing JSON Logs to FastAPI: Bulk Upload Explained
  8. Урок 8. 00:04:37
    How FastAPI Parses LogEntry Models and Prepares Embeddings
  9. Урок 9. 00:02:06
    Embeddings 101: Turning Your Logs into Searchable Vectors
  10. Урок 10. 00:03:55
    Querying Qdrant: From Playground to Streamlit Dashboard
  11. Урок 11. 00:03:54
    Hands-On Embedding Tuning: Boost Your Log Search Accuracy
  12. Урок 12. 00:05:35
    Deploying Improved Embeddings and Measuring Improvement
  13. Урок 13. 00:02:53
    What We Built and Why It Matters
  14. Урок 14. 00:01:28
    How DuckDB Fits into Your Data Observability Stack
  15. Урок 15. 00:05:03
    Writing to DuckDB with a Write-Ahead Log
  16. Урок 16. 00:03:42
    Docker & DuckDB: Implementing WAL to Solve File Lock Errors