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Suitable for:
Webinar
on Langflow
on Langflow
Developers
Analysts
Product managers
Technical specialists
Free webinar
on Langflow
In this webinar, we'll take a practical look at how the low-code Langflow platform allows you to create AI agents without complex programming. This session is suitable for data analysts, developers, and technical specialists who want to speed up the prototyping of AI solutions.
What you'll learn and see:
What you'll learn and see:
- How to build an AI agent in 20 minutes using Langflow's visual interface.
- How to connect MCP servers and external tools to an agent.
- How to transform a knowledge base into a RAG system and make it part of the agent.
- Demonstrations of real-world use cases from DUC Technologies.
Who is this webinar for?
For data analysts
You work with data and want to master a modern low-code tool for creating AI pipelines. Learn how Langflow helps you quickly build agents and RAG systems without extensive programming.
For developers and technical specialists
Want to speed up AI app prototyping and get acquainted with the Langflow visual platform? Learn how to integrate agents with MCP servers and external tools.
For product managers and project managers
You'll understand how a low-code approach reduces the time it takes to get AI solutions into production, and you'll be able to more accurately assign tasks to teams.
For anyone interested in creating AI agents
Financiers, accountants, lawyers, HR and other professionals who want to quickly automate routine tasks without extensive programming knowledge
What will we discuss at the webinar?
Introduction to Langflow
Learn what Langflow is, how low-code AI platforms emerged, and what tasks this tool is suitable for. We'll also explore real-world use cases.
Interface and platform components
We'll take a detailed look at the Langflow interface, from creating projects and pipelines to working with nodes—the basic building blocks. Learn how to add, configure, and connect components, work with LLM models, data sources, files, and branching logic. We'll also explore ready-made templates, testing in Playground, exporting/importing pipelines, and setting up global variables.
How it works under the hood
Brief technical block: Langflow architecture, how nodes exchange data, data types and flow control - linear and branching scenarios.
Case study demonstration
We'll explore building a RAG system—smart document search. Learn about chunking, embeddings, and vector storage, and see how to build a working neural assistant right during the webinar.
Best-practic
Best practices and recommendations for working effectively with Langflow.
Q&A
| The webinar is hosted by Artemy Kadikov.
In his practical experience, he has completed tasks in: - Design and development of high-load microservice systems - Integration with CRM and external services - Development of custom components and AI agents on the Langflow platform - Creation of a module for validating and filtering messages between the user and LLM - Configuring access control in PostgreSQL with microservice isolation - Integration with HashiCorp Vault for secure storage of secrets and configurations - Configuring and optimizing system prompts for AI assistants in the SmartSearch product - Implementation of the Qdrant vector database for semantic search - Development of AI solutions for the DUC SmartSearch product line |
Register for the webinar
The invitation link will be sent 1 hour before the start.
Нажимая кнопку «Отправить», Вы даете однозначное согласие на обработку своих персональных данных в объеме и с целями, определенными Политикой в отношении обработки персональных данных.