Weaviate Podcast

Latest Episodes:

Farshad Farahbakhshian and Etienne Dilocker on Weaviate and AWS - Weaviate Podcast #67! Sep 13, 2023

Show notes

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 SaaS! I hope you find the podcast useful, as always we are more than happy to answer any questions or discuss any ideas you have about the content presented in the podcast! Learn more here: https://aws.amazon.com/marketplace/seller-profile?id=seller-jxgfug62rvpxs As well as here: https://weaviate.io/developers/weaviate/installation/aws-marketplace Chapters 0:00 Welcome Farshad 0:38 Weaviate’s Journey to AWS 2:05 Retrieval-Augmented Generation and Vector DBs 3:44 Running AI in the Cloud 9:40 Fine-Tuning LLMs vs. RAG 10:30 Skill vs. Knowledge (Lawyer Example) 14:28 Continual Learning of LLMs 16:50 Searching through multiple sources 19:58 Hybrid Search controlled by LLMs 22:10 Classes versus Filters 25:00 SQL and Vector Search 25:55 Favorite RAG Use Cases 31:55 Cloud Benchmarking 37:00 Price Performance 38:20 Tuning HNSW 42:15 Horizontal Scalability on AWS Marketplace 47:00 Privacy Requirements 54:45 Weaviate Hybrid SaaS 59:00 AWS Marketplace

Hybrid SaaS in Weaviate Explained! Sep 12, 2023

Show notes

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 the clip useful, we are more than happy to answer any questions you have about the content in this clip! Chapters 0:00 Quick Intro for Context 0:29 Etienne Dilocker on Hybrid SaaS

David Garnitz on VectorFlow - Weaviate Podcast #66! Sep 07, 2023

Show notes

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. sources such as Slack, Salesforce, GitHub, Google Drive, Notion, ... to then Chunking the Text (maybe with the use of Visual Document Layout parsers like what Unstructured is imagining), extracting Metadata potentially (say the "age" of an NBA player as in the Evaporate-Code+ research) -- then sending this data off to embedding model inference and unpacking that can of worms from inference acceleration to load balancing, and finally -- importing the vectors themselves to Weaviate! I learned so much from this conversation, I really hope you enjoy listening and please check out VectorFlow below! VectorFlow: https://github.com/dgarnitz/vectorflow Chapters 0:00 VectorFlow on GitHub! 0:52 Welcome David Garnitz! 1:17 Vector Flow, Founding Vision 2:00 Billions of Vectors in Weaviate! 4:20 End-to-end data importing 6:30 Metadata Extraction in Vector Database Flows 10:15 Vectorizing 100s of millions of billions of chunks 15:58 Fine-Tuning Embedding Models 23:50 Zero-Shot Models in Metadata and Chunking 36:36 Vector + SQL 42:45 Self-Driving Databases 49:23 Generative Feedback Loop REST API 51:38 GPT Cache 55:55 Building VectorFlow

Ofir Press on AliBi and Self-Ask - Weaviate Podcast #65! Aug 31, 2023

Show notes

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 the content in the podcast! +Huge Congratulations on your Ph.D. Ofir! AliBi Attention: https://arxiv.org/abs/2108.12409 Self-Ask Prompting: https://arxiv.org/abs/2210.03350 Ofir Pres on YouTube: https://www.youtube.com/@ofirpress Chapters 0:00 Welcome Ofir Press 0:41 Large Context LLMs 12:38 Quadratic Complexity of Attention 19:12 AliBi Attention, Visual Demo! 24:53 Recency Bias in LLMs 28:57 RAG in Long Context LLM Training 36:27 Self-Ask Prompting 46:07 Chain-of-Thought and Self-Ask 50:47 Gorilla LLMs 58:42 New Directions for New Training Data

Shishir Patil and Tianjun Zhang on Gorilla - Weaviate Podcast #64! Aug 30, 2023

Show notes

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 Training, Self-Instruct Training data and how the authors think of fine-tuning LLaMA-7B models for tasks such as this, and many more! I hope you enjoy the podcast! As always I am more than happy to answer any questions or discuss any ideas you have about the content in the podcast! Please check out the paper here! https://arxiv.org/abs/2305.15334 Chapters 0:00 Welcome Shishir and Tianjun 0:25 Gorilla LLM Story 1:50 API Examples 7:40 The APIZoo 10:55 Gorilla vs. OpenAI Funcs 12:50 Retrieval-Aware Training 19:55 Mixing APIs, Gorilla for Integration 25:12 LlaMA-7B Fine-Tuning vs. GPT-4 29:08 Weaviate Gorilla 33:52 Gorilla and Baby Gorillas 35:40 Gorilla vs. HuggingFace 38:32 Structured Output Parsing 41:14 Reflexion Prompting for Debugging 44:00 Directions for the Future

Nils Reimers on Cohere Search AI - Weaviate Podcast #63! Aug 17, 2023

Show notes

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 some of the key questions around search technology. In this one, we discussed the importance of temporal queries and metadata extraction, long document representation, and future directions for Retrieval-Augmented Generation! I hope you enjoy the podcast, as always I am more than happy to answer any questions or discuss any ideas you have about the content in the podcast! Thank you so much for watching! Learn more about Cohere Rerankers and how to use it in Weaviate here: https://weaviate.io/developers/weaviate/modules/retriever-vectorizer-modules/reranker-cohere Chapters 0:00 Introduction 1:30 Cohere Rerankers 7:02 Dataset Curation at Cohere 10:30 New Rerankers and XGBoost 14:35 Temporal Queries 17:55 Metadata Extraction from Unstructured Text Chunks 21:52 Soft Filters 24:58 Chunking and Long Document Representation 38:00 Retrieval-Augmented Generation 45:40 Retrieval-Aware Training to solve Hallucinations 49:50 Learning to Search and End-to-End RAG 54:35 RETRO 59:25 Foundation Model for Search

Atai Barkai on PodcastGPT - Weaviate Podcast #62! Aug 09, 2023

Show notes

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 explored is, What Vector Database and LLM applications can we build with this data?! What is the future of podcasting with these new technologies?! I had so much fun discussing all these ideas with Atai! As always we are more than happy to answer any questions or discuss any ideas you have about content discussed in the podcast! Thank you so much for watching! Chapters 0:00 Welcome Atai! 1:04 TawkitAI and PodcastGPT! 2:20 Chat with Podcast PodcastGPT - https://www.podcastgpt.ai/ Tawkit AI - https://twitter.com/tawkitapp Weaviate Podcast Search Demo! https://github.com/weaviate/weaviate-podcast-search

Rohit Agarwal on Portkey - Weaviate Podcast #61! Aug 03, 2023

Show notes

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 applications of Generative Feedback Loops! Rohit is building Portkey, a SUPER interesting LLM middleware that does things like load balancing between LLM APIs, and as discussed in the podcast there are all sorts of opportunities for this kind of space whether it be routing to tool-specific LLMs, different cost / accuracy requirements, or multiple models in the HuggingGPT sense. It was amazing chatting with Rohit, this was the best dive into LLMOps I have personally been apart of! As always we are more than happy to answer any questions or discuss any ideas you have about the content in the podcast! Check out portkey here! https://portkey.ai/blog Chapters 0:00 Introduction 0:24 Portkey, Founding Vision 2:20 LLMOps vs. MLOps 4:00 Inference Hosting Options 7:05 3 Layers of LLM Use 8:35 LLM Load Balancers 12:45 Fine-Tuning LLMs 17:08 Retrieval-Aware Tuning 21:16 Portkey Cost Savings 23:08 HuggingGPT 26:28 Semantic Caching 32:40 Frequently Asked Questions 34:00 Embeddings vs. Generative Tasks 35:30 AI Moats, GPT Wrappers 39:56 Unlocks from Cheaper LLM Inference

Patrice Bourgougnon on WPSolr - Weaviate Podcast #60 Aug 02, 2023

Show notes

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 Weaviate and how he sees the state of Vector Databases and Search! As always, we are more than happy to answer any questions or ideas you have about the content discussed in the podcast! Thanks for watching! Chapters 0:00 Introduction 0:45 Vector Databases and Wordpress 4:50 Weaviate Client Languages 10:00 Inference and Database Container Management 21:30 Business Opportunities for Search in Production 26:40 Testing Search Performance, “Something to sleep on” 30:50 Zero-Shot Model Ability 36:05 Make LLMs Stateful 43:46 Chatbots and Search Boxes 44:55 Mixing Models in Applications 47:00 BM25 vs. Vector Search in RETRO RAG

Andriy Mulyar on Nomic AI, Atlas, and GPT4All - Weaviate Podcast #58 Jul 18, 2023

Show notes

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 forecasted evolution of these topics! I 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 discussed in the podcast! Integration Tutorial for Weaviate and Nomic AI Atlas! https://docs.nomic.ai/vector_database.html This example worked for me if you want to clone it with the podcast transcription dataset: https://github.com/weaviate/weaviate-podcast-search/blob/main/atlas-visualizer.py Check out Nomic AI here! https://home.nomic.ai/blog Chapters 0:00 Congrats Nomic and Weaviate Integration! 2:35 Welcome Andriy Mulyar! 3:05 Founding Story of Nomic AI 6:55 Understanding Massive Scale Text Data 10:14 Topic Modeling 16:30 Monitoring Model Training

Our TOPPODCAST Picks

Follow Us

Stay Connected

Related Podcasts

Links

Stay Connected