Weaviate Podcast

00:58:23

SWE-bench with John Yang and Carlos E. Jimenez -...

Weaviate Podcast ·

2024/10/30

Hey everyone! Thank you so much for watching the 107th episode of the Weaviate Podcast! This one dives into SWE-bench, SWE-agent, and most recently SWE-bench Multimodal with John Yang from Stanford University and Carlos E. Jimenez from Princeton University! One of the most impactful applications of AI we have seen so far is in programming and software engineering! John, Carlos, and team are at the cutting-edge of developing and benchmarking these systems! I learned so much from the conversation and

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00:51:15

AI in Education with Rose E. Wang - Weaviate Podcast...

Weaviate Podcast ·

2024/10/22

Hey everyone! I am SUPER excited to publish the 106th episode of the Weaviate Podcast featuring Rose E. Wang!! Rose is a Ph.D. student at Stanford University where she has lead incredible research at the cutting-edge of AI applications in Education. The podcast heavily discusses her recent work on Tutor CoPilot! Tutor CoPilot is one of the world's largest randomized control trials on the impact AI is having on education, testing 900 students and 1800 tutors in grades K-12. I think this is such an

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00:56:50

Compound AI Systems with Philip Kiely - Weaviate...

Weaviate Podcast ·

2024/10/17

Hey everyone! Thank you so much for tuning into the 105th episode of the Weaviate Podcast! This one features Philip Kiely diving into all sorts of apsects related to Compound AI Systems! We are now seeing far better results with AI models by breaking up tasks into multiple stages and inferences. Philip explains the work they are doing at Baseten to optimize and scale deployments of these emerging systems and all sorts of aspects about them from Structured Generation to their distinction with Agents

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01:00:43

AI Agents That Matter with Sayash Kapoor and Benedikt...

Weaviate Podcast ·

2024/09/18

AI Researchers have overfit to maximizing state-of-the-art accuracy at the expense of the cost to run these AI systems! We need to account for cost during optimization. Even if a chatbot can produce an amazing answer, it isn't that valuable if it costs, say $5 per response!I am beyond excited to present the 104th Weaviate Podcast with Sayash Kapoor and Benedikt Stroebl from Princeton Language and Intelligence! Sayash and Benedikt are co-first authors of "AI Agents That Matter"! This

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01:00:36

MIPRO and DSPy with Krista Opsahl-Ong! - Weaviate...

Weaviate Podcast ·

2024/08/28

I am beyond excited to publish our interview with Krista Opsahl-Ong from Stanford University! Krista is the lead author of MIPRO, short for Multi-prompt Instruction Proposal Optimizer, and one of the leading developers and scientists behind DSPy!This was such a fun discussion beginning with the motivation of Automated Prompt Engineering, Multi-Layer Language Programs (also commonly referred to as Compound AI Systems), and their intersection. We then dove into the details of how MIPRO achieves this

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00:52:36

AI-Native Development with Guy Podjarny and Bob van...

Weaviate Podcast ·

2024/08/14

AI is completely transforming how we build software! But how exactly? What does it mean for a software application to be AI-Native versus AI-Enabled? How many other aspects of software development and creativity are impacted by AI?I am super excited to publish our 102nd Weaviate Podcast with Guy Podjarny and Bob van Luijt on AI-Native Development! Guy Podjarny is a co-founder of Snyk, a remarkably successful Cybersecurity company. He is now back on the founder journey, diving into AI-Native

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00:47:49

Scaling Pandas with Devin Petersohn - Weaviate...

Weaviate Podcast ·

2024/07/17

Hey everyone! Thank you so much for watching the 101st episode of the Weaviate Podcast with Devin Petersohn! Devin is the creator of Modin, one of the world's most advanced systems for scaling Pandas! Devin then went onto co-found Ponder, which was acquired by Snowflake in early 2023. This was one of my favorite podcasts of all time, I learned so much about the internals of Data Systems and I hope you do as well!

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00:43:40

Generative UIs with Lucas Negritto and Bob van Luijt!

Weaviate Podcast ·

2024/07/04

What is an AI-native application? This has been one of the questions we are most interested in answering at Weaviate! This podcast explores this question with Weaviate Co-founder Bob van Luijt and Lucas Negritto. Formerly at OpenAI, Lucas is now building Odapt, a remarkable example of such an application where we no longer use front-end code, rather rendering the UI entirely within the generative model!! There are many interesting topics covered such as of course, firstly how this works and how you

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00:53:55

ACORN with Liana Patel and Abdel Rodriguez - Weaviate...

Weaviate Podcast ·

2024/06/25

Liana Patel is a Ph.D. student at Stanford University who is the lead author of ACORN, a breakthrough in Approximate Nearest Neighbor Search with Filters! Also joining the podcast is Abdel Rodriguez, a Vector Index Researcher and Engineer at Weaviate. This podcast dives into all sorts of details behind ACORN. Starting with how Liana developed her interest in Approximate Nearest Neighbor Search algorithms and then transitioning into how ACORN differs from previous approaches, the Two-Hop Neighborhood

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00:58:56

Window Search Tree with Josh Engels - Weaviate...

Weaviate Podcast ·

2024/06/19

Josh Engels is a Ph.D. student at MIT who has published several works advancing the state of the art in Vector Search. Josh has recently developed the Window Search Tree, a new algorithm particularly targeted for improving Filtered Vector Search. Even more particularly than that, the WST algorithm targets Filtered Search with continuous-valued filters such as "price" or "date", also known as range filters. This is a huge application for Vector Databases and it was incredible

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00:59:41

The Future of Search with Nils Reimers and Erika...

Weaviate Podcast ·

2024/06/11

Hey everyone! I am SUPER excited to publish our 97th Weaviate Podcast on the state of AI-powered Search technology featuring Nils Reimers and Erika Cardenas! Erika and I have been super excited about Cohere's latest works to advance RAG and Search and it was amazing getting to pick Nils' brain about all these topics!We began with the development of Compass! Nils explains the current problem with embeddings as a soup!! For example, imagine embedding this video description, the first part is

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01:35:18

Deep Learning with Letitia Parcalabescu - Weaviate...

Weaviate Podcast ·

2024/06/05

Hey everyone! Thank you so much for watching the 96th episode of the Weaviate podcast featuring Letitia Parcalabescu! While completing her Ph.D. studies at the University of Heidelberg, Letitia started her YouTube channel: AI Coffee Break with Letitia! Her videos break down complex concepts in AI with a creative mix of technical expertise and visualizations unlike anyone else in the space!We began the podcast by discussing our shared background in creating content on YouTube from starting, to plans

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00:41:28

Google Cloud Marketplace with Dai Vu and Bob van...

Weaviate Podcast ·

2024/05/07

Hey everyone, thank you so much for watching the 95th Weaviate Podcast! We are beyond honored to feature Dai Vu from Google on this one, alongside Weaviate Co-Founder Bob van Luijt! This podcast dives into all things Google Cloud Marketplace and the state of AI. Beginning with the proliferation of Open-Source models and how Dai sees the evolving landscape with respect to things like Gemini Pro 1.5, Gemini Nano and Gemma, as well as the integration of 3rd party model providers such as Llama 3 on

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01:03:57

ParlayANN with Magdalen Dobson Manohar

Weaviate Podcast ·

2024/04/24

As you are graduating from ideas to engineering, one of the key concepts to be aware of is Parallel Computing and Concurrency. I am SUPER excited to share our 94th Weaviate podcast with Magdalen Dobson Manohar! Magdalen is one of the most impressive scientists I have ever met, having completed her undergraduate studies at MIT before joining Carnegie Mellon University to study Approximate Nearest Neighbor Search and develop ParlayANN. ParlayANN is one of the most enlightening works I have come across

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01:27:03

RAGKit with Kyle Davis - Weaviate Podcast #93!

Weaviate Podcast ·

2024/04/15

Hey everyone! I am SUPER excited to publish our newest Weaviate podcast with Kyle Davis, the creator of RAGKit! At a high-level, the podcast covers our understanding of RAG systems through 4 key areas: (1) Ingest / ETL, (2) Search, (3) Generate / Agents, and (4) Evaluation. Discussing these lead to all sorts of topics from Knowledge Graph RAG, to Function Calling and Tool Selection, Re-ranking, Quantization, and many more!This discussion forced me to re-think many of my previously held beliefs

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00:59:47

VetRec with David de Matheu - Weaviate Podcast #92!

Weaviate Podcast ·

2024/03/28

I've seen a lot of interest around RAG for X application domain, Legal, Accounting, Healthcare, .... David and Kevin are maybe the best example of this I have seen so far, pivoting from Neum AI to VetRec!We begin the podcast by discussing the decision to switch gears, the advice given by Y Combinator, and David's experience in learning a new application domain. We then continue to discuss technical opportunities around RAG for Veterinarians, such as SOAP notes and Differential Diagnosis! We

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01:02:59

Tengyu Ma on Voyage AI - Weaviate Podcast #91!

Weaviate Podcast ·

2024/03/20

Voyage AI is the newest giant in the embedding, reranking, and search model game!I am SUPER excited to publish our latest Weaviate podcast with Tengyu Ma, Co-Founder of Voyage AI and Assistant Professor at Stanford University! We began the podcast with a deep dive into everything embedding model training and contrastive learning theory. Tengyu delivered a masterclass in everything from scaling laws to multi-vector representations, neural architectures, representation collapse, data augmentation,

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01:02:57

Self-Discover DSPy with Chris Dossman - Weaviate...

Weaviate Podcast ·

2024/03/06

One of the core values of DSPy is the ability to add “reasoning modules” such as Chain-of-Thought to your LLM programs!For example, Chain-of-Thought describes prompting the LLM with “Let’s think step by step …”. Interestingly, this meta-prompt around asking the LLM to think this way dramatically improves performance in tasks like question answering or document summarization. Self-Discover is a meta-prompting technique that searches for the optimal thinking primitives to integrate into your program

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01:12:14

Matryoshka Embeddings with Aditya Kusupati, Zach...

Weaviate Podcast ·

2024/02/20

Hey everyone! Thank you so much for watching the 89th Weaviate Podcast on Matryoshka Representation Learning! I am beyond grateful to be joined by the lead author of Matryoshka Representation Learning, Aditya Kusupati, Zach Nussbaum, a Machine Learning Engineer at Nomic AI bringing these embeddings to production, and my Weaviate colleague, Zain Hasan, who has done amazing research on Matryoshka Embeddings! We think this is a super powerful development for Vector Search! This podcast covers all sorts

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00:55:30

Instructor with Jason Liu - Weaviate Podcast #88!

Weaviate Podcast ·

2024/02/14

Jason Liu is the creator of Instructor, one of the world's leading LLM frameworks, particularly focused on structured output parsing with LLMs, or as Jason puts it "making LLMs more backwards compatible". It is hard to understand the impact of Instructor, this is truly leading us to the next era of LLM programming. It was such an honor chatting with Jason, his experience currently as an independent consultant and previously engineering at StitchFix and Meta makes him truly one of the

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