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0:49 - Challenges in Building and Scaling AI Applications
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Classroom Contents
Scaling Enterprise AI with Hybrid Search and Tensors on Vespa.AI
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- 1 0:00 - Introduction to Desperia and Enterprise Retrieval
- 2 0:49 - Challenges in Building and Scaling AI Applications
- 3 1:56 - The Four Key Problems in Industrial AI Deployment
- 4 3:41 - Handling Unstructured Data with Embeddings and Context Knowledge
- 5 4:48 - Key Challenges in Enterprise AI: Multi-modality, Precision, Enterprise Systems, and Cost
- 6 5:54 - Real-World Applications: Medical and E-commerce Retrieval
- 7 6:44 - Demo: Complex PDF and Medical Document Retrieval with Co-Valley
- 8 9:32 - Interactive Demo and Q&A: "Mechanism of Action" and Drug Comparison
- 9 12:10 - The Fundamentals of Semantic Search with Dense Vectors
- 10 14:21 - Advanced Retrieval: Late Interaction and Sparse Vectors
- 11 20:16 - Integrating Data and Preferences: Sparse Tensors and Re-ranking
- 12 24:33 - Lexical Search and Ranking Algorithms
- 13 26:58 - Building a Retrieval Implementation: Combining Methods and Tensor Math
- 14 28:44 - Rank Profiles and Training Re-rankers for Precision
- 15 29:49 - Evaluating Retrieval Systems: Metrics, Judgment Lists, and Customization
- 16 34:13 - The Role of Knowledge Graphs and Contextual Awareness
- 17 39:44 - Context-Aware Knowledge Bases and Multi-Modal Retrieval
- 18 44:08 - Normalization, Ranking, and Evaluation Strategies
- 19 46:40 - Vector Databases and Building an AI Pipeline
- 20 48:23 - Product Offerings and Future Directions
