Merge lists even with typos and inconsistent names. Tune the similarity threshold, use a transform table, and audit results ...

In the first section, we will review some of the elements of an embedding-based retrieval system, and how that fits together in a RAG loop with an LLM. So now we have our text chunks. That’s the first ...

While Google still dominates local search, ChatGPT has made notable strides. Its local results, though not yet on par with Google’s, have improved significantly since we ranked it last among AI search ...

Managing context effectively is a critical challenge when working with large language models, especially in environments like Google Colab, where resource constraints and long documents can quickly ...

Abstract: Query rewriting aims to generate a new query that can complement the original query to improve the information retrieval system. Recent studies on query rewriting, such as query2doc, ...

OpenAI’s recently unveiled o3 model is purportedly its most powerful AI yet, but with one big drawback: it costs ungodly sums of money to run, TechCrunch reports. Announced just over a week ago, o3 ...

If you are working with Excel spreadsheets or workbooks, juggling multiple tables of data, at some time you might need to combine them into one. Rather than spending hours manually copying and pasting ...

Google filed a patent titled ‘Ranking Search Results’ over a decade ago, outlining the use of branded search queries as a factor for ranking search results. The patent was widely misunderstood by the ...