Word Embedding (Python) is a technique to convert words into a vector representation. Computers cannot directly understand words/text as they only deal with numbers. So we need to convert words into ...

Think about someone you’d call a friend. What’s it like when you’re with them? Do you feel connected? Like the two of you are in sync? In today’s story, we’ll meet two friends who have always been in ...

I am using the preview feature of vertexai vector store that support embedding_metadata. When using the curl command I can retrieve the metadata associated with a datapoint. However, this doesn't work ...

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

On Wednesday, Wikimedia Deutschland announced a new database that will make Wikipedia’s wealth of knowledge more accessible to AI models. Called the Wikidata Embedding Project, the system applies a ...

What if the power of advanced natural language processing could fit in the palm of your hand? Imagine a compact yet highly capable model that brings the sophistication of retrieval augmented ...

Google’s open-source Gemma is already a small model designed to run on devices like smartphones. However, Google continues to expand the Gemma family of models and optimize these for local usage on ...

What if the future of AI wasn’t just smarter but also more private, efficient, and accessible? Enter EmbeddingGemma, a new open model designed to transform how text embeddings are generated and used.

It would be extremely valuable to add an option to SimpleKGPipeline to allow entity nodes (not just chunk nodes) to be created with a vector (embedding) attribute. Some other open-source knowledge ...