Maven - Systematically Improving RAG Applications (5.2025)

01. Cohort 1 Guest Lectures . Building Dynamic AI Memory Systems Sam Whitmore's Approach to Personalization.mp4

Bonus/01. Cohort 1 Guest Lectures . Building Dynamic AI Memory Systems Sam Whitmore's Approach to Personalization.mp4

02. Cohort 1 Guest Lectures Text Chunking in RAG Essential Guide with Anton from ChromaDB.mp4

Bonus/02. Cohort 1 Guest Lectures Text Chunking in RAG Essential Guide with Anton from ChromaDB.mp4

03. Cohort 1 Guest Lectures Custom RAG Evaluations w Vespa.ai.mp4

Bonus/03. Cohort 1 Guest Lectures Custom RAG Evaluations w Vespa.ai.mp4

04. Cohort 1 Guest Lectures Multimodal RAG, Hybrid Search & Re-ranking Tips with LanceDB and Unstructured.mp4

Bonus/04. Cohort 1 Guest Lectures Multimodal RAG, Hybrid Search & Re-ranking Tips with LanceDB and Unstructured.mp4

05. Cohort 1 Guest Lectures Leveraging User Feedback for Better RAG Systems Lessons from Zapier Central.mp4

Bonus/05. Cohort 1 Guest Lectures Leveraging User Feedback for Better RAG Systems Lessons from Zapier Central.mp4

06. Cohort 1 Guest Lectures Cohere's Guide to RAG Complexity and Tips from Modal Labs.mp4

Bonus/06. Cohort 1 Guest Lectures Cohere's Guide to RAG Complexity and Tips from Modal Labs.mp4

07. Cohort 1 Guest Lectures Boosting BM25 with Generative AI Insights from Doug Turnbull.mp4

Bonus/07. Cohort 1 Guest Lectures Boosting BM25 with Generative AI Insights from Doug Turnbull.mp4

Cohort 1 Office Hours Beyond Dense Embeddings Exploring Colbert, SPLADE, & Advanced Retrieval Techniques Office Hours.mp4

Bonus/Cohort 1 Office Hours Beyond Dense Embeddings Exploring Colbert, SPLADE, & Advanced Retrieval Techniques Office Hours.mp4

Cohort 1 Office Hours Building Resilient RAG Systems for Large-Scale Data Office Hours.mp4

Bonus/Cohort 1 Office Hours Building Resilient RAG Systems for Large-Scale Data Office Hours.mp4

Cohort 1 Office Hours Building Scalable Systems with DAGs and Serverless for RAG APAC Office Hours.mp4

Bonus/Cohort 1 Office Hours Building Scalable Systems with DAGs and Serverless for RAG APAC Office Hours.mp4

Cohort 1 Office Hours Data Flywheels & Fine-Tuning Re-Rankers for Retrieval Systems Office Hours.mp4

Bonus/Cohort 1 Office Hours Data Flywheels & Fine-Tuning Re-Rankers for Retrieval Systems Office Hours.mp4

Cohort 1 Office Hours Evaluating Agent Performance and Planning Reliability in AI Systems APAC Office Hours.mp4

Bonus/Cohort 1 Office Hours Evaluating Agent Performance and Planning Reliability in AI Systems APAC Office Hours.mp4

Cohort 1 Office Hours Handling Real-Time Insights & Advanced Retrieval Challenges APAC Office Hours.mp4

Bonus/Cohort 1 Office Hours Handling Real-Time Insights & Advanced Retrieval Challenges APAC Office Hours.mp4

Cohort 1 Office Hours Optimizing Planner and Feedback Mechanisms in RAG Systems APAC Office Hours.mp4

Bonus/Cohort 1 Office Hours Optimizing Planner and Feedback Mechanisms in RAG Systems APAC Office Hours.mp4

Cohort 1 Office Hours Smart Routing and Query Optimization for Advanced Retrieval Systems Office Hours.mp4

Bonus/Cohort 1 Office Hours Smart Routing and Query Optimization for Advanced Retrieval Systems Office Hours.mp4

Cohort 1 Office Hours Using AI to Streamline Query Understanding & User Feedback Office Hours.mp4

Bonus/Cohort 1 Office Hours Using AI to Streamline Query Understanding & User Feedback Office Hours.mp4

Cohort 2 Guest Lectures Building document workflow agents with Jerry Liu from Llama Index.mp4

Bonus/Cohort 2 Guest Lectures Building document workflow agents with Jerry Liu from Llama Index.mp4

Cohort 2 Guest Lectures Building scalable RAG applications Evolving workflows for sharing and optimization [Ankur Goyal].mp4

Bonus/Cohort 2 Guest Lectures Building scalable RAG applications Evolving workflows for sharing and optimization [Ankur Goyal].mp4

Cohort 2 Guest Lectures Common Mistakes People Make with Evals [Hamel Husain].mp4

Bonus/Cohort 2 Guest Lectures Common Mistakes People Make with Evals [Hamel Husain].mp4

Cohort 2 Guest Lectures Inside Glean Fine-Tuning Embedding Models for Optimized AI and Enterprise Search.mp4

Bonus/Cohort 2 Guest Lectures Inside Glean Fine-Tuning Embedding Models for Optimized AI and Enterprise Search.mp4

Cohort 2 Guest Lectures Lexical Love Rediscovering the Power of Text in RAG [John Berryman].mp4

Bonus/Cohort 2 Guest Lectures Lexical Love Rediscovering the Power of Text in RAG [John Berryman].mp4

Cohort 2 Guest Lectures Organizing Your Data for Query Routing [Anton Troynikov from ChromaDB].mp4

Bonus/Cohort 2 Guest Lectures Organizing Your Data for Query Routing [Anton Troynikov from ChromaDB].mp4

RAG Cohort 1 - Workshop 1.mp4

Bonus/RAG Cohort 1 - Workshop 1.mp4

RAG Cohort 1 - Workshop 2.mp4

Bonus/RAG Cohort 1 - Workshop 2.mp4

RAG Cohort 1 - Workshop 3.mp4

Bonus/RAG Cohort 1 - Workshop 3.mp4

RAG Cohort 1 - Workshop 4.mp4

Bonus/RAG Cohort 1 - Workshop 4.mp4

RAG Cohort 1 - Workshop 5.mp4

Bonus/RAG Cohort 1 - Workshop 5.mp4

RAG Cohort 1 - Workshop 6.mp4

Bonus/RAG Cohort 1 - Workshop 6.mp4

FAQs - Semantic search over the web with Exa [Will Bryk].txt

code/FAQs - Semantic search over the web with Exa [Will Bryk].txt

FAQs - Understanding Embedding Performance through Generative Evals.txt

code/FAQs - Understanding Embedding Performance through Generative Evals.txt

Office Hour FAQs MAY 22.txt

code/Office Hour FAQs MAY 22.txt

Office Hour Study Notes MAY 22.txt

code/Office Hour Study Notes MAY 22.txt

Session 0 - Introduction.pdf

code/Session 0 - Introduction.pdf

Session 1 - Kickstart the Data Flywheel - Fake it till you make it_.pdf

code/Session 1 - Kickstart the Data Flywheel - Fake it till you make it_.pdf

Study Notes - Semantic search over the web with Exa [Will Bryk].txt

code/Study Notes - Semantic search over the web with Exa [Will Bryk].txt

Study Notes - Understanding Embedding Performance through Generative Evals.txt

code/Study Notes - Understanding Embedding Performance through Generative Evals.txt

Week 1 Session 1 Tutorials.txt

code/Week 1 Session 1 Tutorials.txt

Week 1 Study Notes - Understanding Embedding Performance through Generative Evals.pdf

code/Week 1 Study Notes - Understanding Embedding Performance through Generative Evals.pdf

Week 2 Lecture 2 Finetuning Rerankers and Embeddings.txt

code/Week 2 Lecture 2 Finetuning Rerankers and Embeddings.txt

Week 2 Session 2 Tutorials.txt

code/Week 2 Session 2 Tutorials.txt