RAG++ : From POC to Production

RAG++ : From POC to Production
Practical RAG techniques for engineers: learn production-ready solutions from industry experts to optimize performance, cut costs, and enhance the accuracy and relevance of your applications.
$15 Cohere credits
2 Hours
Free

What can I expect from this course?

  • Practical, tested solutions to getting better higher accuracy out of your POC apps.
  • Systematic RAG evaluation techniques.
  • Best practices for consistent and reliable outputs while minimizing hallucination.
  • Cohere credits to run course notebooks.

Curriculum

  • Introduction to Advanced RAG and Wandbot
  • Evaluation
  • Data Ingestion and Preprocessing
  • Query Enhancement
  • Advanced Retrieval and Reranking
  • Agentic RAG
  • Response Synthesis and Prompting
  • Optimization for Speed and Efficiency
In partnership with
In partnership with
Excellent course on RAG eval RAG eval is hard. Clearly being able to call out where there is an issue in your RAG system is hard and tricky. W&B RAG++ course simplifies it for you. Excellent work from Bharat and Ayush for clear explanation and sharing good quality code to understand.
Awsome course for beginner
Key takeaways for me are Ingestion pitfalls, Query enhancement best practices and Agentic RAG
Thank you This Course was really well done. If I can give a small suggestion, maybe more videos. But I like the straight to the point approach. It was super helpful for my master thesis!
Though I have yet to complete the course, I commend you guys at WANDB. This was easy and interesting. However, to beginners, it might be too rushed and fast. Overall, I enjoyed the course. Kudos to your team.
Very broad view on many levers to increase RAG performances. And grounded with concrete examples and notebooks to apply these technics... I highly recommend !
Course instructors

Bharat Ramanathan

Bharat is an AI Engineer at Weights & Biases, where he built and manages Wandbot, a technical support bot that can run in Discord, Slack, ChatGPT and Zendesk. Currently also pursuing a Data Science Master's at Harvard Extension School. Bharat is an outdoor enthusiast who enjoys reading, rock climbing, swimming, and biking.
AI Engineer Weights & Biases

Ayush Thakur

Ayush Thakur is an AI Engineer at Weights & Biases and Google Developer Expert in Machine Learning (TensorFlow). He is interested in everything computer vision and representation learning. For the past 2 years he’s been working with LLMs and have covered RLHF and how and what of building LLM-based systems.
AI Engineer Weights & Biases

Meor Amer

Meor is a Developer Advocate at Cohere, a platform optimized for enterprise generative AI and advanced retrieval. He helps developers build cutting-edge applications with Cohere’s Large Language Models (LLMs).
Developer Advocate Cohere

Charles Pierse

Charles Pierse is a ML Engineer at Weaviate on the Weaviate Labs team. His work is focussed on putting the latest research in AI into production. The labs team is focussed on building out AI native services that build upon and complement Weaviate's existing core offering.
Head of Weaviate Labs Weaviate
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