talk-data.com

An overview of agentic AI and how to build agentic apps using the LlamaIndex framework. Covers core design patterns such as event-driven workflows, routing, parallelization, orchestrator–worker setups, and evaluator–optimizer loops, and discusses multi-agent systems. The session will explore MCP servers and tools for providing live context to agents, and uses the open-source LlamaIndex Python framework with models from OpenAI and Anthropic.

An overview of agentic AI concepts, focusing on how to build agentic apps with LlamaIndex. We'll cover core design patterns such as event-driven workflows, routing, parallelization, orchestrator–worker setups, and evaluator–optimizer loops, and show how to bring them to life in the LlamaIndex framework. The session also explores how these pieces fit into multi-agent systems, with a focus on MCP servers and tools that provide live context to agents. By the end, you'll learn to build agents using LlamaIndex, compose multi-agent systems, design reusable tools for agents, and give agents real-time knowledge. The talk uses the LlamaIndex Python framework and models from OpenAI and Anthropic.

An in-depth look at agentic AI — how to build agent-driven applications using the LlamaIndex framework. We’ll cover core design patterns such as event-driven workflows, routing, parallelization, orchestrator–worker setups, and evaluator–optimizer loops, and show how to implement them in LlamaIndex. The talk also explores how these pieces fit together into multi-agent systems, and how MCP servers and tools help agents obtain live context to hit their goals. By the end, you’ll learn to build agents with LlamaIndex, compose multi-agent systems, design reusable tools for agents, and give your agents real-time knowledge. The session uses the open-source LlamaIndex framework in Python and models from providers like OpenAI and Anthropic.

At Databricks, we see organizations looking to leverage the power of AI, not only to deliver intelligent solutions, but to also have intelligent user interfaces. Join us as we delve into how lakehouse architecture forms the backbone of intelligent data platforms, integrating AI to enhance user interaction and self-management. Discover how this evolution is democratizing data and AI access for all data workers in modern organizations, paving the way for the next generation of data and AI enabled solutions.

When December 7, 2023 – 10:00 AM Pacific

Register for the Zoom: https://voxel51.com/computer-vision-events/december-2023-ai-machine-learning-data-science-meetup/

Agenda

* Building Yourself a Private Search System with Retrieval Augmentation with Haystack – Tuana Çelik at deepset * Rise of the Intelligent Data Platform – Franco Patano at Databricks * Scaling Similarity Search with USearch - Ash Vardanian at Unum Cloud

Building Yourself a Private Search System with Retrieval Augmentation with Haystack

In this talk we will have a look at Haystack, an open source LLM framework, and how we can use it to create custom, private search systems on our own data. We will look at how we can build retrieval augmented generative pipelines for our Notion pages, and how Haystack can help you create custom tooling for larger NLP applications.

Speaker: Tuana Çelik is a Lead Developer Advocate at deepset.ai, where she focuses on the open-source NLP community. With a background in engineering, her main focus is to help the Haystack developer community.

Rise of the Intelligent Data Platform

At Databricks, we see organizations looking to leverage the power of AI, not only to deliver intelligent solutions, but to also have intelligent user interfaces. Join us as we delve into how lakehouse architecture forms the backbone of intelligent data platforms, integrating AI to enhance user interaction and self-management. Discover how this evolution is democratizing data and AI access for all data workers in modern organizations, paving the way for the next generation of data and AI enabled solutions.

Speaker: Franco Patano is a Strategic Data and AI Advisor at Databricks, where he collaborates with customers to understand their business needs, challenges, and goals, and help them leverage the power of Databricks to deliver data products that drive value, innovation, and growth.

Scaling Similarity Search with USearch

Vector and similarity search is increasingly critical in 2023, but most libraries struggle to fully utilize modern hardware due to issues rooted in their code architecture. Many rely on object-oriented programming, which reduces memory-efficiency and data-locality. Additionally, dependence on compilers for low-level optimizations fails to properly emit key AVX-512 and SVE Assembly instructions for x86 and Arm. My talk will dissect these and other pitfalls, and demonstrate how USearch innovates in areas like architecture and SIMD utilization to overcome them.

Speaker: Ash Vardanian, Founder of Unum Cloud. With background across astrophysics, high performance computing, and systems design, Ash focuses on bridging theory and real-world AI applications.

When December 7, 2023 – 10:00 AM Pacific

Register for the Zoom: https://voxel51.com/computer-vision-events/december-2023-ai-machine-learning-data-science-meetup/

Agenda

* Building Yourself a Private Search System with Retrieval Augmentation with Haystack – Tuana Çelik at deepset * Rise of the Intelligent Data Platform – Franco Patano at Databricks * Scaling Similarity Search with USearch - Ash Vardanian at Unum Cloud

Building Yourself a Private Search System with Retrieval Augmentation with Haystack

In this talk we will have a look at Haystack, an open source LLM framework, and how we can use it to create custom, private search systems on our own data. We will look at how we can build retrieval augmented generative pipelines for our Notion pages, and how Haystack can help you create custom tooling for larger NLP applications.

Speaker: Tuana Çelik is a Lead Developer Advocate at deepset.ai, where she focuses on the open-source NLP community. With a background in engineering, her main focus is to help the Haystack developer community.

Rise of the Intelligent Data Platform

At Databricks, we see organizations looking to leverage the power of AI, not only to deliver intelligent solutions, but to also have intelligent user interfaces. Join us as we delve into how lakehouse architecture forms the backbone of intelligent data platforms, integrating AI to enhance user interaction and self-management. Discover how this evolution is democratizing data and AI access for all data workers in modern organizations, paving the way for the next generation of data and AI enabled solutions.

Speaker: Franco Patano is a Strategic Data and AI Advisor at Databricks, where he collaborates with customers to understand their business needs, challenges, and goals, and help them leverage the power of Databricks to deliver data products that drive value, innovation, and growth.

Scaling Similarity Search with USearch

Vector and similarity search is increasingly critical in 2023, but most libraries struggle to fully utilize modern hardware due to issues rooted in their code architecture. Many rely on object-oriented programming, which reduces memory-efficiency and data-locality. Additionally, dependence on compilers for low-level optimizations fails to properly emit key AVX-512 and SVE Assembly instructions for x86 and Arm. My talk will dissect these and other pitfalls, and demonstrate how USearch innovates in areas like architecture and SIMD utilization to overcome them.

Speaker: Ash Vardanian, Founder of Unum Cloud. With background across astrophysics, high performance computing, and systems design, Ash focuses on bridging theory and real-world AI applications.