Join Connor Shorten as he interviews Weaviate community users, leading machine learning experts, and explores Weaviate use cases from users and customers.
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MIPRO and DSPy with Krista Opsahl-Ong! - Weaviate Podcast #103
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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-Lay…
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AI-Native Development with Guy Podjarny and Bob van Luijt - Weaviate Podcast #102!
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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!…
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Scaling Pandas with Devin Petersohn - Weaviate Podcast #101!
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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 m…
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Generative UIs with Lucas Negritto and Bob van Luijt!
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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, rathe…
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ACORN with Liana Patel and Abdel Rodriguez - Weaviate Podcast #99!
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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 i…
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Window Search Tree with Josh Engels - Weaviate Podcast #98!
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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 filt…
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The Future of Search with Nils Reimers and Erika Cardenas - Weaviate Podcast #97!
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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 o…
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Deep Learning with Letitia Parcalabescu - Weaviate Podcast #96!
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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 visua…
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Google Cloud Marketplace with Dai Vu and Bob van Luijt - Weaviate Podcast #95!
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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 la…
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ParlayANN with Magdalen Dobson Manohar
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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 Carnegi…
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RAGKit with Kyle Davis - Weaviate Podcast #93!
1:27:03
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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 F…
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VetRec with David de Matheu - Weaviate Podcast #92!
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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 appli…
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Tengyu Ma on Voyage AI - Weaviate Podcast #91!
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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 del…
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Self-Discover DSPy with Chris Dossman - Weaviate Podcast #90!
1:02:57
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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 answerin…
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Matryoshka Embeddings with Aditya Kusupati, Zach Nussbaum, and Zain Hasan - Weaviate Podcast #89!
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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 Has…
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Instructor with Jason Liu - Weaviate Podcast #88!
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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 wit…
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XMC.dspy with Karel D'Oosterlinck - Weaviate Podcast #87!
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Hey everyone! Thank you so much for watching the 87th episode of the Weaviate Podcast! I am SUPER excited to welcome Karel D'Oosterlinck! Karel is the creator of IReRa (Infer-Retrieve-Rank)! IReRa is one of the most impressive systems that have been built for Extreme Multi-Label Classification, leveraging the emerging paradigm of DSPy compilation! …
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Open-Source AI with Vinod Valloppillil and Bob van Luijt - Weaviate Podcast #86!
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Hey everyone! We are super excited to publish this podcast with Vinod Valloppillil and Bob van Luijt on Open-Source AI and future directions for RAG! The podcast begins by discussing Vinod's "Halloween Documents", a series of internal strategy writings at Microsoft related to the open-source software movement! The conversation continues to discuss …
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DSPy and ColBERT with Omar Khattab! - Weaviate Podcast #85
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Hey everyone! I am beyond excited to present our interview with Omar Khattab from Stanford University! Omar is one of the world's leading scientists on AI and NLP. I highly recommend you check out Omar's remarkable list of publications linked below! This interview completely transformed my understanding of building RAG and LLM applications! I belie…
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Subjectivity in AI with Dan Shipper: AI-Native Databases #4
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Hey everyone! Thank you so much for watching the fourth and final episode of the AI-Native Database series with Dan Shipper! This was another epic one! Dan has had an absolutely remarkable career creating and selling a company and now co-founding and working as the CEO of Every! Every is an incredibly future-looking business focused on content onli…
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Humans and AI with John Maeda: AI-Native Databases #3
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Hey everyone! Thank you so much for watching the 3rd episode of the AI-Native Database series featuring John Maeda and Bob van Luijt! This one dives into how humans perceive AI, from Anthroaormorphization to Doomsday scenario thinking and how important understanding how AI actually work is to the engineering of these systems. Bob and John discuss t…
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Structure in Data with Paul Groth: AI-Native Databases #2
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Hey everyone! Thank you so much for watching the second episode of AI-Native Databases with Paul Groth! This was another epic one, diving deep into the role of structure in our data! Beginning with Knowledge Graphs and LLMs, there are two perspectives: LLMs for Knowledge Graphs (using LLMs to extract relationships or predict missing links) and then…
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Self-Driving Databases with Andy Pavlo: AI-Native Databases #1
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Hey everyone! Thank you so much for watching the first episode of AI-Native Databases with Andy Pavlo! This was an epic one! We began by explaining the "Self-Driving Database" and all the opportunities to optimize DBs with AI and ML at both the low-level, as well as how we query and interact with them. We also discussed new opportunities with DBs +…
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Weaviate 1.23 Release Podcast with Etienne Dilocker!
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Hey everyone! Thank you so much for watching the Weaviate 1.23 Release Podcast with Weaviate Co-Founder and CTO Etienne Dilocker! Weaviate 1.23 is a massive step forward for managing multi-tenancy with vector databases. For most RAG and Vector DB applications, you will have an uneven distribution in the # of vectors per user. Some users have 10k do…
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Rudy Lai on Tactic Generate - Weaviate Podcast #78!
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Hey everyone! Thank you so much for watching the 78th episode of the Weaviate podcast featuring Rudy Lai, the founder and CEO of Tactic Generate! Tactic Generate has developed a user experience around applying LLMs in parallel to multiple documents, or even folders / collections / databases. Rudy discussed the user research that lead the company to…
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RAGAS with Jithin James, Shahul Es, and Erika Cardenas - Weaviate Podcast #77!
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Hey everyone, thank you so much for watching the 77th Weaviate Podcast on RAGAS, featuring Jithin James, Shahul ES, and Erika Cardenas! RAGAS is one of the hottest rising startups in Retrieval-Augmented Generation! RAGAS began it's journey with the RAGAS score, a matrix of evaluations for generation and retrieval. Generation evaluated on Faithfulne…
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Patrick Lewis on Retrieval-Augmented Generation - Weaviate Podcast #76!
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Hey everyone, I am SUPER excited to present our 76th Weaviate Podcast featuring Patrick Lewis, an NLP Research Scientist at Cohere! Patrick has had an absolutely massive impact on Natural Language Processing with AI and Deep Learning! Especially notable for the current climate in AI and Weaviate is that Patrick is the lead author of the original "R…
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Tanmay Chopra on Emissary - Weaviate Podcast #75!
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Hey everyone! Thank you so much for watching the 75th Weaviate Podcast featuring Tanmay Chopra! The podcast details Tanmay's incredible career in Machine Learning from Tik Tok to Neeva and now building his own startup, Emissary! Tanmay shared some amazing insights into Search AI such as how to process Temporal Queries, how to think about diversity …
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Simba Khadder on FeatureForm - Weaviate Podcast #74!
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Hey everyone! Thank you so much for watching the 74th Weaviate Podcast feature Simba Khadder, the CEO and Co-Founder of FeatureForm! To begin, "features" broadly describe the inputs to machine learning models that they use to produce outputs, or predictions. Feature stores orchestrate the construction of features, whether that be transformations fo…
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Charles Packer on MemGPT - Weaviate Podcast #73!
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Hey everyone! I am SUPER excited to publish our 73rd Weaviate Podcast with Charles Packer, the lead author of MemGPT at UC Berkeley! MemGPT presents the "Operating System for LLMs", an incredibly exciting idea to explicitly prompt the LLM with the information that it has a limited context window and give it memory management tools to behave accordi…
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Madelon Hulsebos on Tabular Machine Learning - Weaviate Podcast #72!
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Hey everyone! Thank you so much for watching the 72nd episode of the Weaviate Podcast with Madelon Hulsebos!! Madelon is one of the world's experts on Machine Learning with Tables and Tabular-Structured Data, this was such an eye-opening conversation! We discussed all sorts of topics from the relationship of tabular data and embeddings, to searchin…
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Vibs Abhishek on Alltius AI - Weaviate Podcast #71!
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Hey everyone! Thank you so much for watching the 71st Weaviate Podcast with Vibs Abhishek! Vibs is the CEO and Founder of Alltius AI, as well as a professor at UC Irvine business school! In order to tame the somewhat chaotic emerging landscape of RAG and LLM applications, Alltius has settled on 3 core pillars of Knowledge, Skills, and Deployment Ch…
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Thank you so much for watching our paper summary video on MemGPT! MemGPT is a super exciting new work bridging together concepts in how Operating Systems manage memory and LLMs! Links:Paper: https://arxiv.org/pdf/2310.08560.pdfAndrej Karpathy on Operating Systems and LLMs: https://twitter.com/karpathy/status/1707437820045062561Run LLM Podcast with …
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Kevin Cohen on Neum AI - Weaviate Podcast #70!
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Hey everyone! Thank you so much for watching the 70th episode of the Weaviate podcast with Neum AI CTO and Co-Founder Kevin Cohen! I first met Kevin when he was debugging an issue with his distributed node utilization and have since learned so much from him about how he sees the space of Data Ingestion, also commonly referenced as ETL for LLMs! The…
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Charles Pierse on Tactic Generate - Weaviate Podcast #69!
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Hey everyone! Thank you so much for watching the 69th episode of the Weaviate Podcast featuring Charles Pierse from Tactic! Tactic has recently launched their new Tactic Generate project, an incredible UI for conducting research across multiple documents. I think there is a massive opportunity to pair these prompts and LLM workflows with User Inter…
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Weights and Biases on Fine-Tuning LLMs - Weaviate Podcast #68!
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Hey everyone! Thank you so much for watching the 68th episode of the Weaviate Podcast! We are super excited to welcome Morgan McGuire, Darek Kleczek, and Thomas Capelle! This was such a fun discussion beginning with generally how see the space of fine-tuning from why you would want to do it, to the available tooling, intersection with RAG and more!…
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Farshad Farahbakhshian and Etienne Dilocker on Weaviate and AWS - Weaviate Podcast #67!
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Hey everyone! Thank you so much for watching the 67th Weaviate Podcast, announcing Weaviate on the AWS Marketplace! This was one of my favorite podcasts to date with a deep dive on the details of running RAG applications in the cloud, our general understanding of LLM Fine-Tuning and RAG, as well as a really interesting discussion on VPCs and Hybrid…
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Hey everyone! Here is a clip from our newest Weaviate podcast with Farshad Farahbakhshian, Gen AI specialist at AWS and Etienne Dilocker, CTO and Co-Founder of Weaviate! This podcast announces Weaviate on the AWS marketplace and is packed with info on running Weaviate in the cloud such as this clip explaining how Hybrid SaaS works! I hope you find …
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David Garnitz on VectorFlow - Weaviate Podcast #66!
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Hey everyone! Thank you so much for watching the 66th Weaviate Podcast with David Garnitz, the creator of VectorFlow! VectorFlow (open-sourced on GH and linked below) is a new tool for ingesting data into Vector Databases such as Weaviate! There is quite an interesting End-to-End stack emerging at the ingestion layer, from retrieving data from misc…
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Ofir Press on AliBi and Self-Ask - Weaviate Podcast #65!
1:07:11
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Hey everyone! Thank you so much for watching the Weaviate Podcast! I am SUPER excited to publish my conversation with Ofir Press! Ofir has done incredible work pioneering AliBi attention and Self-Ask prompting and I learned so much from speaking with him! As always we are more than happy to answer any questions or discuss any ideas you have about t…
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Shishir Patil and Tianjun Zhang on Gorilla - Weaviate Podcast #64!
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Hey everyone! Thank you so much for watching the 64th Weaviate Podcast with Shishir Patil and Tianjun Zhang, co-authors of Gorilla: Large Language Models Connected with Massive APIs! I learned so much about Gorilla from Shishir and Tianjun, from the APIBench dataset to the continually evolving APIZoo, how the models are trained with Retrieval-Aware…
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Nils Reimers on Cohere Search AI - Weaviate Podcast #63!
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Hey everyone! Thank you so much for watching the 63rd Weaviate Podcast, I couldn't be more excited to welcome Nils Reimers back to the podcast!! Similar to our debut episode together, we began by describing the latest collaboration of Weaviate and Cohere (episode 1, new multilingual embedding models; episode 2, rerankers!), and then continued into …
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Atai Barkai on PodcastGPT - Weaviate Podcast #62!
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Hey everyone! Thank you so much for watching the 62nd Weaviate Podcast with Atai Barkai! We are stepping into the meta with this one for a podcast about podcasts! Podcasts are one of the biggest opportunities of new technologies, starting with Whisper's ability to transcribe audio to text and advances with speaker diarization, .. the question to be…
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Rohit Agarwal on Portkey - Weaviate Podcast #61!
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Hey everyone! Thank you so much for watching the 61st episode of the Weaviate Podcast! I am beyond excited to publish this one! I first met Rohit at the Cal Hacks event hosted by UC Berkeley where we had a debate about the impact of Semantic Caching! Rohit taught me a ton about the topic and I think it's going to be one of the most impactful early …
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Patrice Bourgougnon on WPSolr - Weaviate Podcast #60
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Hey everyone! Thank you so much for watching the 60th Weaviate podcast with Patrice Bourgougnon! Patrice is the creator of WPSolr, integrating AI search capabilities with Wordpress and Woocommerce. Patrice is one of the most active contributors to Weaviate, filing issues and poking holes in new releases! Patrice shared incredible feedback on Weavia…
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Andriy Mulyar on Nomic AI, Atlas, and GPT4All - Weaviate Podcast #58
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Hey everyone! Thank you so much for watching the 58th episode of the Weaviate Podcast! I am SUPER excited to welcome Andriy Muylar! Andriy is the Co-Founder of Nomic AI, a company fresh off a $17M series A raise! Nomic has created some incredible products such as Atlas and GPT4All! I was really impressed by Andriy's vision of the state and forecast…
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Charles Frye on Full Stack Deep Learning - Weaviate Podcast #57!
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Hey everyone! Thank you so much for watching the 57th Weaviate podcast with Charles Frye! Charles is an educator at Full Stack Deep Learning, one of the world's top courses on Deep Learning with lectures available on YouTube (link below)! This was one of the most thorough Weaviate podcasts published so far, covering all sorts of topics around the e…
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Etienne Dilocker on Weaviate 1.20 - Weaviate Podcast #56!
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Chapters0:00 Weaviate 1.20!!!0:40 Multi-Tenancy35:36 PQ Rescoring47:20 Re-Ranking, AutoCut, Rank Fusion58:58 Cloud Monitoring Metrics
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Aleksa Gordcic - Weaviate Podcast #55!
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Hey everyone! Thank you so much for watching the 55th episode of the Weaviate Podcast with Aleksa Gordcic! This episodes dives into Aleksa's incredible story from Deep Learning YouTube to DeepMind and now creating Ortus! We dived into all sorts of topics, I loved hearing about the latest updates on Ortus and how Aleksa is sees the current state of …
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Stephanie Horbaczewski and Gunjan Bhattarai on Vody - Weaviate Podcast #53!
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Chapters0:00 Introduction0:38 Founding Story of Vody8:15 Custom Embedding Models12:42 Movie Genre Vectors13:42 Classification and Contrastive Learning15:45 Foundation Model Tuning21:13 Multimodal Generative Models25:08 Training Embedding Models33:20 Tabular Data Ranking Models36:00 RoomGPT41:36 Diversity in Recommendations48:25 Future Directions in…
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