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 ...

I used LiteLLM proxy with redis cache to create embeddings with vertex AI models, which also take a task_type parameter. When I request an embedding for the same input string twice, but with two ...

In trading, discussions often center on strategies, indicators, or market predictions. Yet behind the numbers lies a quieter factor that often determines whether a system can endure: position sizing.

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 ...

A new technical paper titled “Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration” was published by researchers at Purdue University and ...

Abstract: Due to the complexity and dynamism of real-world needs, traditional vehicle routing solutions usually do not sufficiently consider implicit user preferences, leading to low acceptance and ...

Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...

Abstract: Escape routing is a critical problem in printed circuit board (PCB) routing, and its quality dramatically affects the cost of the PCB design. Unlike the traditional escape routing that works ...