Maven - Systematically Improving RAG Applications (5.2025)

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2026-06-05 09:38:078.42 GB518C696DB7DF9085E39A91B4738C0DB3642CE6D867
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    • Files
    1. 01. Lecture 0_ Introductions - Descript.mp445.49 MB
    2. 010. Office Hour MAY 22.mp4789.59 MB
    3. 011. Optional Notebook Office Hour MAY 22.mp465.73 MB
    4. 02. Lecture 1_ synthetic data, fake it until you make it - Descript.mp457.82 MB
    5. 03. Week 1 - 1 _ Synthetic Questions - Descript.mp442.17 MB
    6. 04. Week 1 - 2 _ Benchmarking Retrieval - Descript.mp453.29 MB
    7. 05. Week 1 - 3 _ Statistical Validation - Descript.mp426.14 MB
    8. 06. Introductions.mp480.20 MB
    9. 07. Office Hours MAY 20.mp4132.72 MB
    10. 08. Understanding Embedding Performance through Generative Evals [Kelly Hong].mp4195.08 MB
    11. 09. Semantic search over the web with Exa [Will Bryk].mp4290.32 MB
    12. Bonus/01. Cohort 1 Guest Lectures . Building Dynamic AI Memory Systems Sam Whitmore's Approach to Personalization.mp4209.34 MB
    13. Bonus/02. Cohort 1 Guest Lectures Text Chunking in RAG Essential Guide with Anton from ChromaDB.mp4190.62 MB
    14. Bonus/03. Cohort 1 Guest Lectures Custom RAG Evaluations w Vespa.ai.mp4122.08 MB
    15. Bonus/04. Cohort 1 Guest Lectures Multimodal RAG, Hybrid Search & Re-ranking Tips with LanceDB and Unstructured.mp4194.01 MB
    16. Bonus/05. Cohort 1 Guest Lectures Leveraging User Feedback for Better RAG Systems Lessons from Zapier Central.mp4142.74 MB
    17. Bonus/06. Cohort 1 Guest Lectures Cohere's Guide to RAG Complexity and Tips from Modal Labs.mp4273.92 MB
    18. Bonus/07. Cohort 1 Guest Lectures Boosting BM25 with Generative AI Insights from Doug Turnbull.mp4149.40 MB
    19. Bonus/Cohort 1 Office Hours Beyond Dense Embeddings Exploring Colbert, SPLADE, & Advanced Retrieval Techniques Office Hours.mp457.34 MB
    20. Bonus/Cohort 1 Office Hours Building Resilient RAG Systems for Large-Scale Data Office Hours.mp4516.52 MB
    21. Bonus/Cohort 1 Office Hours Building Scalable Systems with DAGs and Serverless for RAG APAC Office Hours.mp4457.43 MB
    22. Bonus/Cohort 1 Office Hours Data Flywheels & Fine-Tuning Re-Rankers for Retrieval Systems Office Hours.mp4258.02 MB
    23. Bonus/Cohort 1 Office Hours Evaluating Agent Performance and Planning Reliability in AI Systems APAC Office Hours.mp4471.76 MB
    24. Bonus/Cohort 1 Office Hours Handling Real-Time Insights & Advanced Retrieval Challenges APAC Office Hours.mp4398.39 MB
    25. Bonus/Cohort 1 Office Hours Optimizing Planner and Feedback Mechanisms in RAG Systems APAC Office Hours.mp4263.39 MB
    26. Bonus/Cohort 1 Office Hours Smart Routing and Query Optimization for Advanced Retrieval Systems Office Hours.mp4407.07 MB
    27. Bonus/Cohort 1 Office Hours Using AI to Streamline Query Understanding & User Feedback Office Hours.mp4334.02 MB
    28. Bonus/Cohort 2 Guest Lectures Building document workflow agents with Jerry Liu from Llama Index.mp4108.35 MB
    29. Bonus/Cohort 2 Guest Lectures Building scalable RAG applications Evolving workflows for sharing and optimization [Ankur Goyal].mp4111.80 MB
    30. Bonus/Cohort 2 Guest Lectures Common Mistakes People Make with Evals [Hamel Husain].mp4201.18 MB
    31. Bonus/Cohort 2 Guest Lectures Inside Glean Fine-Tuning Embedding Models for Optimized AI and Enterprise Search.mp4100.89 MB
    32. Bonus/Cohort 2 Guest Lectures Lexical Love Rediscovering the Power of Text in RAG [John Berryman].mp493.56 MB
    33. Bonus/Cohort 2 Guest Lectures Organizing Your Data for Query Routing [Anton Troynikov from ChromaDB].mp496.98 MB
    34. Bonus/RAG Cohort 1 - Workshop 1.mp4202.02 MB
    35. Bonus/RAG Cohort 1 - Workshop 2.mp4489.93 MB
    36. Bonus/RAG Cohort 1 - Workshop 3.mp4187.44 MB
    37. Bonus/RAG Cohort 1 - Workshop 4.mp4198.76 MB
    38. Bonus/RAG Cohort 1 - Workshop 5.mp4300.29 MB
    39. Bonus/RAG Cohort 1 - Workshop 6.mp4303.51 MB
    40. code/FAQs - Semantic search over the web with Exa [Will Bryk].txt4.90 KB
    41. code/FAQs - Understanding Embedding Performance through Generative Evals.txt4.99 KB
    42. code/Office Hour FAQs MAY 22.txt5.38 KB
    43. code/Office Hour Study Notes MAY 22.txt13.41 KB
    44. code/Session 0 - Introduction.pdf1.25 MB
    45. code/Session 1 - Kickstart the Data Flywheel - Fake it till you make it_.pdf611.36 KB
    46. code/Study Notes - Semantic search over the web with Exa [Will Bryk].txt15.30 KB
    47. code/Study Notes - Understanding Embedding Performance through Generative Evals.txt10.92 KB
    48. code/Week 1 Session 1 Tutorials.txt81 B
    49. code/Week 1 Study Notes - Understanding Embedding Performance through Generative Evals.pdf2.30 MB
    50. code/Week 2 Lecture 2 Finetuning Rerankers and Embeddings.txt2.10 KB
    51. code/Week 2 Session 2 Tutorials.txt1.46 KB
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