This training focuses on generating embeddings from text and image data, storing vector representations in databases such as FAISS, Chroma, PgVector, Milvus, and Weaviate, and implementing efficient similarity search operations. The program also explores how vector-based retrieval systems can be integrated into Retrieval-Augmented Generation (RAG) architectures in production environments.

Throughout the training, participants will gain practical experience with data chunking strategies, metadata schema design, selecting appropriate indexing methods and distance metrics, implementing hybrid search techniques, and evaluating retrieval performance.

The program covers the essential principles of vector databases, advanced information retrieval techniques, and the development of end-to-end RAG workflows. Participants will learn how to build vector-based solutions optimized for retrieval accuracy, system performance, and operational cost.

For corporate groups, we can organize this training as an on-site private group.

Prerequisites

Participants should have basic programming knowledge and a general understanding of data structures.

Who Should Attend

Backend developers and data engineers
Teams developing search systems and RAG applications
Professionals working on semantic search and information retrieval solutions

What You Will Learn

By the end of this training, participants will be able to:

Understand the fundamental principles of vector databases.
Generate embeddings from text and image data.
Explore vector databases such as FAISS, Chroma, PgVector, Milvus, and Weaviate.
Apply chunking, indexing, and distance metrics.
Implement metadata management and hybrid search techniques.
Perform similarity searches using PgVector.
Understand RAG architectures and re-ranking techniques.
Develop RAG workflows optimized for performance and cost.

Training Outline

1. Fundamentals of Vector Databases and Information Retrieval

Embedding models and vector normalization techniques
Data chunking strategies
Distance metrics and indexing approaches
Types of vector databases and their core characteristics
Designing metadata schemas
Hybrid search methods and retrieval evaluation
Hands-on: Performing similarity searches with PgVector

2. RAG Integration and Best Practices

Understanding Retrieval-Augmented Generation (RAG) architecture
Advanced data chunking approaches
Re-ranking techniques for improving retrieval results
Optimizing performance and operational costs
Observability and governance practices
Hands-on: Developing an end-to-end RAG pipeline

Why Choose Us

Leading UK-based global training provider since 1995.

Experience Vector Databases in Kazakhstan through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

Delivery Method: Online Instructor-Led
Participation Model: Public / Private (In-house)
Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
Worldwide Access: Join our live virtual classrooms from Kazakhstan or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Vector Databases through face-to-face Classroom Based training in Kazakhstan. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

Delivery Method: Classroom Based
Participation Model: Public / Private (In-house)
Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Vector Databases in Kazakhstan as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

Delivery Method: Onsite
Participation Model: Private (In-house)
Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
Worldwide Onsite Delivery: Arrange the training in Kazakhstan or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.

Vector Databases Training in Kazakhstan