• Keras Code Search with Weaviate

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    This video illustrates how to upload the Keras Code Examples into the Weaviate Vector Search Engine!

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  • Data Science with Weaviate

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    Weaviate is using GraphQL to provide user-friendly data interaction. Learn more in this Graph QL Asia 2021 Presentation!

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  • Weaviate Podcast #3

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    Connor Shorten invited Bob van Luijt and will discuss use cases, the GraphQL API, knowledge graphs and their vision for the future.

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  • Weaviate Podcast #2

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    Connor Shorten invited Charles Pierse (Keenious) and discuss how Keenious uses Weaviate and broader; all things concerning NLP!

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  • Weaviate in Techcrunch

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    Check out this Techcrunch article that features Weaviate and in the section: How to get coverage for your company. And, vector search.

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  • Vector Search through Wikidata

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    Cool video from Henry AI Labs on all sorts of topics, (Wikidata, PyTorch-BigGraph, Graph Neural Networks, Knowledge Graphs.

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  • Wikidata Tool of the Week

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    Seem like Wikidata is also a fan of Weaviate since they chose us as the tool of the week in December 2021.

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  • BigGraph Wikidata dataset

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    In this repository on Github, you'll find a guide on how you can import the complete Wikidata PBG model into a Weaviate.

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  • Full Wikipedia dataset

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    We imported the complete English language Wikipedia article dataset into a single Weaviate instance. It is all available so go and run the complete setup yourself!

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  • Weaviate @ GraphQL Berlin

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    In this recorded presentation from Bob van Luijt he will present a case study of the GraphQL interface in the Weaviate vector searching engine.

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  • Wikipedia and Weaviate

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    Article on towardsdatascience written by Bob on semantic search through the complete Wikipedia, discussing GraphQL, Sentence-BERT, and BERT Q&A

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  • Wikipedia Vector Search Demo

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    A great explaining video on Henry AI Labs on how semantic search through Wikipedia, topics discussed: GraphQL, Sentence-BERT, and BERT Q&A.

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  • Weaviate Podcast #1

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    Connor Shorten invited our CTO Etienne Dilocker! Discussed: Weaviate's horizontal scalability and a wide variety of topics surrounding the Weaviate Slack channel.

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  • Presentation by Laura Ham

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    AI-powered Vector Search Engine Weaviate by Laura Ham of SeMI Technologies during a Linux Foundation event.

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  • Bob on the Vector Podcast

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    Dmitry Kan invited Bob van Luijt and they talked about the origin, business and use cases of the Weaviate vector search engine.

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  • Etienne Dilocker on Weaviate

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    Vector Search Engines are powering the the next generation of search. This podcast explores HNSW, Neurosymbolic search and filtering, and more!

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  • Effects of filtered HNSW

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    An experiment to see how both loose and restrictive filters affect vector search speed and quality.

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  • Knowledge Graph Search

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    This article from Charles Pierse on Medium touches briefly on Knowledge Graphs and how we have leveraged them at Keenious.

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  • Vector databases explained!

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    AI Coffee Break with Letitia – Modern search engines explained. Cool explaining video on what you need to know about today’s vector search engines.

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  • Architecture Deep Dive

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    Weaviate is a full-fledged vector database with full CRUD support. In this meetup, Etienne Dilocker of SeMI Technologies explains how Weaviate works under the hood.

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  • Sub-50ms neural search

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    How to build a fast and production-ready neural search using Transformers, DistilBERT, and the vector search engine Weaviate

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  • Weaviate Python Library

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    A full tutorial on the Python library of the new Machine Learning based vector search engine, Weaviate

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  • Weaviate in ZDNet

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    Google uses machine learning and graphs to deliver search results. Most search engines do not. Weaviate wants to change that.

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  • Weaviate for Retail

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    Learn how the Weaviate vector search engine helps customers like Metro AG and explore one of the many use cases Weaviate is helpfull in!

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  • ANN Database with CRUD support

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    How the vector search engine Weaviate overcomes the limitations of popular Approximate Nearest Neighbor (ANN) libraries.

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  • Weaviate @ FOSDEM 2020

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    Introduction and demo by Bob van Luijt during FOSDEM 2020 about the Weaviate Vector Search Engine.

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  • Weaviate @ FLOSS Weekly

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    Weaviate allows you to find the data that you're looking for fast and reliable, but it also allows you to index the data based on its meaning.

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  • Google Cloud's Stack Chat

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    Mark Mirchandani talks to Bob van Luijt, about what a knowledge graph is and how they've built Weaviate.

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