Wikipedia and Weaviate
Semantic search on Wikipedia dataset with Weaviate – vector database.
November 25, 2021 · 7 min read
Semantic search on Wikipedia dataset with Weaviate – vector database.
What Weaviate users should know about Docker & Containers.
Weaviate v1.2 introduced support for transformers (DistilBERT, BERT, RoBERTa, Sentence-BERT, etc) to vectorize and semantically search through your data.
How the vector database Weaviate overcomes the limitations of popular Approximate Nearest Neighbor (ANN) libraries.
Any kind of data storage architecture needs an API. Learn how and why Weaviate picked GraphQL.
Weaviate is an open-source vector database with a built-in NLP model called the Contextionary. Learn what makes Weaviate unique.
Learn how the AI-first vector database Weaviate unlocks the potential of unstructured data and why this is important.