Real-Time RAG with Haystack 2.0 and Bytewax
We invite you to a special event focused on Retrieval Augmented Generation (RAG), where you'll learn about the critical aspects of real-time AI technologies and their applications.
Discover how to improve your AI solutions with RAG and Directed Graphs (DGs), and see these technologies in action through practical examples with Haystack and Bytewax.
Who Should Attend:
🤖 AI and ML professionals focused on advanced architectures.
🛠️ Data engineers seeking LLMs for real-time processing.
🎓 Computational researchers and students exploring AI.
Who will bee 🐝 a star?
Laura Funderburk
Senior Developer AdvocateEvent Agenda 📅
1. Understanding RAG (Retrieval-Augmented Generation)
Definition and significance in the AI landscape.
Use cases and benefits for enhancing model responses with external knowledge.
2. Introduction to Data Flow and Directed Graphs (DGs)
Basics of data flow in computing and its critical role in processing pipelines.
Introduction to DGs and their properties.
Examples of DGs in various data processing frameworks.
3. RAG as a DG
Explanation of how RAG can be conceptualized and implemented as a DAG.
The interaction between retrieval and generation phases in a RAG model.
Visualization of RAG workflows as DGs.
4. Building Real-Time RAG with Bytewax and Haystack
Introduction to Haystack and Bytewax.
Setting up RAG with Haystack.
Introduction to workers, state management and stream processing with Bytewax.
Mini example of real time RAG implementation.
Architectural Patterns for real-time RAG Implementations.
Laura Funderburk
Senior Developer Advocate
