The Fast Vector Similarity Library is a high-performance Rust-based tool for efficiently computing similarity measures between vectors. It is ideal for data analysis, machine learning, and statistical ...

As a Data Engineer, I don’t often work directly with ML or LLMs in my day-to-day tasks—but that’s starting to change. With the rise of AI-assisted tooling, we now have the opportunity to make many of ...

2024 was the year of Retrieval Augmented Generation (RAG) dominated most expert discussions, changing the way how we interact with AI by combining large language models (LLMs) with external knowledge ...

PostgreSQL with the pgvector extension allows tables to be used as storage for vectors, each of which is saved as a row. It also allows any number of metadata columns to be added. In an enterprise ...

CloneLLM is a minimal Python package that enables you to create an AI clone of yourself using LLMs. Built on top of LiteLLM and LangChain, CloneLLM utilizes Retrieval-Augmented Generation (RAG) to ...

The ability to search for information is crucial in today's digital landscape, with users expecting search functionality in nearly every application and website. To improve search results, architects ...

Insects use path integration (PI) to maintain a home vector, but can also store and recall vector-memories that take them from home to a food location, and even allow them to take novel shortcuts ...