Maven - Systematically Improving RAG Applications (5.2025)

File Name

Size

01. Lecture 0_ Introductions - Descript.mp4

46 MB

010. Office Hour MAY 22.mp4

790 MB

011. Optional Notebook Office Hour MAY 22.mp4

66 MB

02. Lecture 1_ synthetic data, fake it until you make it - Descript.mp4

58 MB

03. Week 1 - 1 _ Synthetic Questions - Descript.mp4

42 MB

04. Week 1 - 2 _ Benchmarking Retrieval - Descript.mp4

53 MB

05. Week 1 - 3 _ Statistical Validation - Descript.mp4

26 MB

06. Introductions.mp4

80 MB

07. Office Hours MAY 20.mp4

133 MB

08. Understanding Embedding Performance through Generative Evals [Kelly Hong].mp4

195 MB

09. Semantic search over the web with Exa [Will Bryk].mp4

290 MB

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

209 MB

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

191 MB

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

122 MB

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

194 MB

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

143 MB

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

274 MB

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

149 MB

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

57 MB

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

516 MB

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

457 MB

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

258 MB

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

472 MB

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

398 MB

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

263 MB

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

407 MB

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

334 MB

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

108 MB

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

112 MB

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

201 MB

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

101 MB

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

94 MB

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

97 MB

Bonus/RAG Cohort 1 - Workshop 1.mp4

202 MB

Bonus/RAG Cohort 1 - Workshop 2.mp4

490 MB

Bonus/RAG Cohort 1 - Workshop 3.mp4

187 MB

Bonus/RAG Cohort 1 - Workshop 4.mp4

199 MB

Bonus/RAG Cohort 1 - Workshop 5.mp4

300 MB

Bonus/RAG Cohort 1 - Workshop 6.mp4

304 MB

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

4.9 kB

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

5.0 kB

code/Office Hour FAQs MAY 22.txt

5.4 kB

code/Office Hour Study Notes MAY 22.txt

13 kB

code/Session 0 - Introduction.pdf

1.2 MB

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

611 kB

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

15 kB

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

11 kB

code/Week 1 Session 1 Tutorials.txt

81 B

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

2.3 MB

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

2.1 kB

code/Week 2 Session 2 Tutorials.txt

1.5 kB