Pluralsight GenAI Data and Knowledge Layer 2026

[0dayddl]

301.17 MB | 4min 28s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

FileName :01-Embeddings from Vectors to Semantics.mp4 | Size: (8.09 MB)
FileName :02-The Mathematics of Semantic Similarity.mp4 | Size: (9 MB)
FileName :03-Understanding Vector Spaces through Visualization.mp4 | Size: (8.23 MB)
FileName :04-Embedding Models OpenAI Cohere and Open Source.mp4 | Size: (7.91 MB)
FileName :05-Evaluating Embedding Quality MTEB and Beyond.mp4 | Size: (9.8 MB)
FileName :06-Generating Embeddings at Scale.mp4 | Size: (15.45 MB)
FileName :07-Building Robust Embedding Pipelines.mp4 | Size: (7.3 MB)
FileName :08-Semantic Similarity Search in Practice.mp4 | Size: (11.66 MB)
FileName :01-Vector Stores.mp4 | Size: (6.79 MB)
FileName :02-Vector Database Internals.mp4 | Size: (6.15 MB)
FileName :03-Indexing Algorithms.mp4 | Size: (10.81 MB)
FileName :04-Storage Strategies for Scale.mp4 | Size: (11.91 MB)
FileName :05-Vector Database Comparison.mp4 | Size: (8.51 MB)
FileName :06-Pgvector and Self-hosted Solutions.mp4 | Size: (9.76 MB)
FileName :07-Designing Vector Database Schemas.mp4 | Size: (7.48 MB)
FileName :08-Advanced Query Patterns.mp4 | Size: (4.32 MB)
FileName :09-Production Operations.mp4 | Size: (5.27 MB)
FileName :10-Monitoring Index Health and Recovery.mp4 | Size: (4.21 MB)
FileName :01-Knowledge Graphs Fundamentals.mp4 | Size: (5.03 MB)
FileName :02-Knowledge Graphs vs Databases vs Vector Stores.mp4 | Size: (5.3 MB)
FileName :03-Ontology and Schema Design.mp4 | Size: (6.81 MB)
FileName :04-Entity Recognition from Unstructured Text.mp4 | Size: (4.7 MB)
FileName :05-Relation Extraction and Knowledge Construction.mp4 | Size: (4.46 MB)
FileName :06-Building Knowledge Graphs with LLMs.mp4 | Size: (7.96 MB)
FileName :07-Graph Embedding Techniques.mp4 | Size: (5.07 MB)
FileName :08-Hybrid Retrieval Vectors and Graph Traversal.mp4 | Size: (15.84 MB)
FileName :09-Querying Knowledge Graphs.mp4 | Size: (6.71 MB)
FileName :10-Knowledge Graph Maintenance and Evolution.mp4 | Size: (12.27 MB)
FileName :01-End-to-end Data Pipeline Architecture.mp4 | Size: (6.07 MB)
FileName :02-Chunking Strategies.mp4 | Size: (11.63 MB)
FileName :03-Multi Modal Content Handling.mp4 | Size: (11.14 MB)
FileName :04-Metadata Enrichment and Context Injection.mp4 | Size: (11.04 MB)
FileName :05-Orchestrating Pipelines.mp4 | Size: (8.25 MB)
FileName :06-Synthetic Data Generation and Testing.mp4 | Size: (6.12 MB)

]
Screenshot

Spoiler

RapidGator

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

DDownload

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

NitroFlare

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

UsersDrive
​

 

[0dayddl]

GenAI Data and Knowledge Layer
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 1h 56m | 298 MB
Instructor: Laurentiu Raducu​

This course will teach you how to design and build robust, production-ready GenAI data and knowledge layers.

What you'll learn

Engineers often struggle with how to represent their data as vectors, choose and operate vector stores, design knowledge graphs, and build robust pipelines that keep everything up to date and testable at scale. In this course, GenAI Data and Knowledge Layer, you'll gain the ability to design and implement production-ready data and knowledge layers that power reliable GenAI applications.

First, you'll explore how embeddings, vector stores, and chunking strategies turn raw data into effective semantic representations for retrieval-augmented generation. Next, you'll discover how to architect and operate vector databases, integrate knowledge graphs, and orchestrate end-to-end pipelines that continuously ingest, transform, and index data. Finally, you'll learn how to apply advanced preprocessing and synthetic data generation techniques to improve retrieval quality, robustness, and test coverage of your GenAI systems.

When you're finished with this course, you'll have the skills and knowledge of modern GenAI data and knowledge layers needed to confidently build and maintain scalable, production-grade GenAI systems grounded in your own data.

Bitte Anmelden oder Registrieren um Links zu sehen.

RapidGator

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

-GETH.rar
DDownload

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

-GETH.rar
NitroFlare

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

-GETH.rar
UsersDrive
-GETH.rar
​