Weaviate Podcast

00:51:47

ChatArena with Yuxiang Wu - Weaviate Podcast #47!

Weaviate Podcast ·

2023/05/17

Hey everyone, thank you so much for watching the Weaviate podcast! I am so excited about this episode! ChatArena is a software framework for multi-agent chat games. There are quite a few interesting applications of this, firstly we can use this kind of system to evaluate the intelligence of an LLM based on how intelligent it sounds in conversation with another LLM! Another interesting idea is to have the LLM impersonate people such as Lex Fridman or Sam Altman and simulate conversations between

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01:06:23

HyperDB with John Dagdelen, Bob van Luijt, and...

Weaviate Podcast ·

2023/05/10

Hey everyone! Thank you so much for watching the Weaviate Podcast! This is pretty novel episode featuring both Weaviate Co-Founders Bob van Luijt and Etienne Dilocker! This is also extremely novel because we are featuring a competitor vector database, HyperDB! John Dagdelen is the founder of HyperDB which is a hyper-fast local vector database for use with LLM Agents. Now accepting SAFEs at $135M cap. HyperDB: https://github.com/jdagdelen/hyperDB More seriously, John has produced an incredible body

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00:54:51

Generative Feedback Loops with Bob van Luijt -...

Weaviate Podcast ·

2023/05/05

Hey everyone! Thank you so much for watching the Generative Feedback Loops Podcast! We have also created a blog post and GitHub repository for more information! Chapters 0:00 Bob the Podcast Host 1:20 Retrieval-Augmented Generation 4:10 Hallucination in LLMs 6:15 Solving Hallucination with RLHF 7:44 LLM Monster - Reasoning and Knowledge 10:12 Feedback Loops 11:00 Hands-on Code Demo 26:00 Demo Analysis from Bob and Connor 30:35 Star Wars Wes Anderson Generated Video 34:12 Multimodal Vector

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00:26:48

Weaviate 1.19 Release with Etienne Dilocker -...

Weaviate Podcast ·

2023/05/04

Hey everyone! Thank you so much for watching the Weaviate 1.19 release podcast! We have all sorts of cool new features, in addition to the database and module features, I really want to encourage readers to see the `groupBy` search discussed at 14:32, quite an interesting idea for improving search performance! Chapters 0:00 Welcome Etienne! 0:38 gRPC API 9:50 Generative Cohere 14:32 groupBy search 19:33 Bitmap or BM25 index tuning 22:20 Additional Tokenization Options 24:05 Tunable Consistency

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01:00:40

Erika Cardenas, Roman Grebennikov, and Vsevolod...

Weaviate Podcast ·

2023/04/12

Thank you so much for watching the 43rd episode of the Weaviate Podcast with Roman Grebennikov and Vesvolod Goloviznin from Metarank, as well as Erika Cardenas from Weaviate! This podcast is a masterclass on Ranking models, additionally touching on the connection between Search and Recommendation. Learning-to-rank is an exciting idea where we use models that produce more fine-grained relevance scores than the offline indexing techniques of vector search and bm25, however with the tradeoff of the

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01:22:54

Ethan Steininger on Mixpeek and the AI Landscape -...

Weaviate Podcast ·

2023/04/05

Thank you so much for watching the 42nd episode of the Weaviate Podcast! Ethan Steininger is the founder of Mixpeek, an intelligence layer that sits on top of your S3 bucket, so you can search and analyze unstructured data at scale. Ethan has also created Collie with the headline of "Enter your website and Collie will fetch every asset, then give you an embedded search bar that wows your users". Ethan began the podcast by describing his background at MongoDB and integrating the database

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00:44:31

Dennis Xu on Mem and LLMs! - Weaviate Podcast #41

Weaviate Podcast ·

2023/03/29

Chapters 0:00 Welcome Dennis Xu! 0:30 Founding Vision of Mem 4:18 Personalized Embeddings 6:02 GPT-4, How will this change everything? 11:00 Writing code with LLMs 13:18 Embeddings at Mem 17:10 Structure in Vector Search 19:10 Zero-Shot vs. Fine-Tuned Models 25:05 Ranking Models and LLM Distillation

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01:02:45

Weaviate 1.18 Release Podcast - Weaviate Podcast #40!

Weaviate Podcast ·

2023/03/07

Chapters 0:00 Weaviate 1.18!!! 0:32 Bitmap Indexing! 11:40 HNSW PQ 25:33 Cursor API 30:03 Filters in Hybrid Search 32:55 WAND Scoring 40:35 Replication 49:10 Building a Database in Golang 1:00:55 Thank you!

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00:37:27

Floris Hoogenboom on OpenVerkiezingenNL - Weaviate...

Weaviate Podcast ·

2023/03/06

Check out the website here! https://openverkiezingen.nl/

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01:28:19

Leo Boystov on Information Retrieval Science -...

Weaviate Podcast ·

2023/03/01

Hey everyone! Thank you so much for watching the 38th episode of the Weaviate podcast! This episode features Leo Boystov, an expert in Information Retrieval technology! We discussed a very wide range of topics from an overview of IR methods such as BM25, Neural Bi-Encoder and Cross-Encoder rankers, and a super exciting new work Leo has co-authored on using Large Language Models to generate training data for Neural Ranking models titled "InPars-Light: Cost-Effective Unsupervised Training of Efficient

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00:51:48

GPT Index and Weaviate with Jerry Liu and Bob van...

Weaviate Podcast ·

2023/02/22

Hey everyone! Thank you so much for watching the 37th episode of the Weaviate podcast! This episode discusses some of the ideas behind GPT Index. GPT Index presents really exciting ideas about how we use LLMs to index our data and then traverse these data structures. We began the podcast by discussing the origins of the tool and the ideas behind the Tree Index. We then discussed generalizing these trees to graphs and whether we are headed to the Knowledge Graph 2.0. Another really interesting topic

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00:47:54

LangChain and Weaviate with Harrison Chase and Bob...

Weaviate Podcast ·

2023/02/15

Hey everyone! Thank you so much for watching the 36th episode of the Weaviate podcast! This episode continues on the marriage between LLMs and Semantic Search, welcoming back Weaviate CEO and Co-Founder Bob van Luijt! Enter LangChain and its creator, Harrison Chase, providing the glue between LLMs and tools, such as semantic search. LangChain provides a set of abstractions around chaining multiple language model calls with different prompts, strategies for overcoming the 4096 token limit, and

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00:43:50

Bob van Luijt on Generative Search with Weaviate -...

Weaviate Podcast ·

2023/02/07

This podcast debuts a huge new release from Weaviate... the generate module! The generate module is a new API in Weaviate that facilitates passing YOUR data from the Weaviate database to ChatGPT. This enables ChatGPT to become knowledgeable about your particular business or interests! Here is a great snippet from Bob around the 43 minute mark that describes how this kind of LLM technology is changing the world of database technology, "Yeah so, what I’m really excited about and this is something that

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00:28:33

Our Mad Journey of Building a Vector Database in Go -...

Weaviate Podcast ·

2023/02/06

Chapters 1:00 Introduction 1:26 Why does the world need yet another database? 3:57 Memory Allocations 9:40 Delayed Decoding 16:05 SIMD 22:04 Demo Time! 24:38 Mad at Go? 26:00 Audience Questions

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01:47:33

Dmitry Kan on Neural Search Frameworks - Weaviate...

Weaviate Podcast ·

2023/01/25

I am so excited to host Dmitry Kan on the Weaviate Podcast!! Dmitry is a world class expert on emerging trends in search technology! This podcast reflects on Dmitry's latest characterization of the field, the Neural Search Pyramid. This describes the different components involved with building a Deep Learning-powered Search experience from the Approximate Nearest Neighbor index algorithms, to Database functionality, LLM orchestration, Vectorization optimization, Data preprocessing, User Interface,

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00:55:42

Nils Reimers on Cohere Embedding Models

Weaviate Podcast ·

2023/01/11

Weaviate podcast #33. Thank you so much for watching the 33rd Weaviate Podcast! This episode features one of the heroes of Deep Learning for Search, Nils Reimers! Nils' work on SentenceBERT is one of the foundational works for applying Deep Representation Learning to text search. This is the idea that personally inspired me to work in this field. Having seen the successes of Contrastive Representation Learning for Computer Vision, I was mind-blown by the possibility of this for NLP and text search

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00:51:34

Sam Bean, Zain Hasan, and John Trengrove on You.com...

Weaviate Podcast ·

2023/01/09

Weaviate Podcast #32. Thank you so much for watching the Weaviate podcast! We are super excited to host Sam Bean from You.com! As well as welcome Zain Hasan and John Trengrove to the Weaviate podcast for the first time! Sam begins by describing You.com, and then we dive into the Weaviate Spark Connector that Sam played a massive role in creating. I thought this was such a masterclass in the Spark big data technology; John, Sam, and Zain are all data engineering pros and I've never learned more

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00:42:45

Weaviate 1.17 Release with Etienne Dilocker and...

Weaviate Podcast ·

2022/12/21

Weaviate Podcast #31. Weaviate 1.17!! This is a massive release for Weaviate, debuting Replication, Hybrid Search, BM25, Faster Startup and Import Times, as well as other fixes! Replication and Hybrid Search are two massive features for Weaviate, and we really hope you enjoy the description of them from the podcast. Please also check out the Weaviate 1.17 release blog post for more information as well - https://weaviate.io/blog/2022/12/Weaviate-release-1-17.html! This is also a very special podcast

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01:05:31

Bob van Luijt, Chris Dossman and Marco Bianco on the...

Weaviate Podcast ·

2022/12/14

Weaviate Podcast #30. Chapters 0:00 The future of search! 0:42 Welcome Marco and Chris! 4:28 Solving Hallucination with External Memory LLMs 8:16 Bob van Luijt on Weaviate and LLMs, Collaborations 14:48 What we have is not yet what the technology is capable of 16:45 Everything is Search! 18:55 The Magic of Machine Learning 20:30 Asking follow up questions 22:28 Meaning in LLMs and RLHF 27:10 How ChatGPT is Evangelizing the Technology 29:45 What is the future of search from a user perspective? 34:38

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01:12:31

Matthijs Douze on Quantization and FAISS

Weaviate Podcast ·

2022/11/30

Weaviate Podcast #29. Hey everyone, thank you so much for watching another episode of the Weaviate podcast! This episode features Matthijs Douze, one of the most talented and accomplished scientists we've hosted on the Weaviate podcast! Matthijs has pioneered the use of Product Quantization to compress vector representations and enable even faster and more efficient approximate nearest neighbor vector search. Matthijs told an incredible story about the history of this research, from searching from

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