Podcast
Weaviate Podcast
Hosted by Weaviate · EN
Join Connor Shorten as he interviews machine learning experts and explores Weaviate use cases from users and customers.
15episodes
Episodes
Newest firstAll episodes
REFRAG with Xiaoqiang Lin - Weaviate Podcast #130!
Nov 301:00:00Tap to summarizeXiaoqiang Lin is a Ph.D. student at the National University of Singapore. During his time at Meta, Xiaoqiang lead the research behind REFRAG: Rethinking RAG-based Decoding. Traditional RAG systems use vectors to retrieve relevant context with semantic search, but then throw away the vectors when passing the context to the LLM. REFRAG instead feeds the LLM these pre-compute vectors, achieving massive gains in long context processing and LLM inference speed! REFRAG makes Time-To-First-Token (TTFT) 31x faster and Time-To-Iterative-Token (TTIT) 3x faster, boosting overall LLM throughput by 7x while also being able to handle much longer contexts!There are so many interesting aspects to this and I really loved diving into the details with Xiaoqiang! I hope you enjoy the podcast!
Transcribe →Weaviate and SAS with Saurabh Mishra and Bob van Luijt - Weaviate Podcast #129!
Oct 1300:43:55Tap to summarizeThis episode dives into Weaviate's partnership with SAS! We are super excited about our recent collaboration on the SAS Retrieval Agent Manager (RAM), featuring a first party integration with Weaviate! The podcast dives into all sorts of aspects of Enterprise AI adoption from what has changed, to what has NOT changed with recent breakthroughs in AI systems!
Transcribe →Weaviate's Query Agent with Charles Pierse - Weaviate Podcast #128!
Sep 2201:01:32Tap to summarizeCharles Pierse is the Director of the Weaviate Labs team, where he has recently lead the GA release of the Weaviate Query Agent. The podcast begins with the journey from alpha to GA release, discussing unexpected lessons and the collaborations between teams at Weaviate. Continuing on the product design, we cover the design of the Python and TypeScript clients and how to think about response models with Agent products. Then diving into the tech, we cover several different aspects of the Query Agent from question answering with citations, to schema introspection and typing for database querying, multi-collection routing, and the newly introduced Search Mode. We also discuss the Weaviate Query Agent's integration with the Cloud Console, a GUI home for the Weaviate Database! We are also super excited to share a case study from one of the Query Agent's power uses, MetaBuddy! The podcast concludes with the MetaBuddy case study and some exciting directions for the future development of the Query Agent.
Transcribe →GEPA with Lakshya A. Agrawal - Weaviate Podcast #127!
Aug 13, 202501:01:55Tap to summarizeLakshya A. Agrawal is a Ph.D. student at U.C. Berkeley! Lakshya has lead the research behind GEPA, one of the newest innovations in DSPy and the use of Large Language Models as Optimizers! GEPA makes three key innovations on how exactly we use LLMs to propose prompts for LLMs, (1) Pareto-Optimal Candidate Selection, (2) Reflective Prompt Mutation, and (3) System-Aware Merging. The podcast discusses all of these details further, as well as topics such as Test-Time Training and the LangProBe benchmarks used in the paper! I hope you find the podcast useful!
Transcribe →Subjectivity in AI with Dan Shipper: AI-Native Databases #4
Dec 21, 2023Tap to summarizeHey 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 online, both with an amazing newsletter, community of writers and thinkers, an AI-note taking app, and more! I think Dan brings a very unique perspective to the series, as well as the Weaviate podcast broadly, because of his experience with writers and understanding how writers are going to use these new technologies! We heavily discussed the role of personality or subjectivity in AI, amongst many other topics! I really hope you enjoy the podcast, as always we are more than happy to answer any questions or discuss any ideas you have about the content in the podcast! Read writings from Dan Shipper on Every: https://every.to/@danshipper Chapters 0:00 AI-Native Databases 0:58 Welcome Dan Shipper! 1:37 GPT-4 is a Reasoning Engine 8:40 Subjectivity in LLMs 12:14 AI in Note Taking 16:38 The opinions of LLMs 25:50 Cookbooks for you 31:16 Overdrive in LLMs 34:50 Tweaking the voice of AI 40:45 Multi-Agent Personalities
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