semantic

Image from UnsplashBuilding a Semantic Book Search: Scale an Embedding Pipeline with Apache Spark and AWS EMR ServerlessUsing OpenAI’s Clip model to support natural language search on a collection of 70k book coversIn a previous post I did a little PoC to see if I could use OpenAI’s Clip model to build a semantic book search. It worked surprisingly well, in my opinion, but I couldn’t help wondering if it would be better with more data. The previous version used only about 3.5k books, but there are millions in the…

In this post, you will take a closer look at embedding documents to be used for a semantic search. By means of examples, you will learn how embedding influences the search result and how you can improve the results. Enjoy! Introduction In a previous post, a chat with documents using LangChain4j and LocalAI was discussed. One of the conclusions was that the document format has a large influence on the results. In this post, you will take a closer look at the influence of source data and the way it is embedded in order to…

Understand Semantic Structures with Transformers and Topic ModelingWe live in the age of big data. At this point it’s become a cliche to say that data is the oil of the 21st century but it really is so. Data collection practices have resulted in huge piles of data in just about everyone’s hands.Interpreting data, however, is no easy task, and much of the industry and academia still rely on solutions, which provide little in the ways of explanations. While deep learning is incredibly useful for predictive purposes, it…

In the era of digital transformation, Large Language Models (LLMs) like GPT-4 have become a cornerstone in enhancing business operations and customer interactions. However, the integration of these advanced generative AI technologies presents unique challenges, especially for small and medium-sized enterprises (SMEs) and large corporations. For SMEs, the cost associated with LLM token usage can be a significant barrier, whereas large enterprises often grapple with response times from LLMs, impacting operational…

This article explores the relationship between a movie’s dialogue and its genre, leveraging domain-driven data analysis and informed…Continue reading on Towards Data Science » This article explores the relationship between a movie’s dialogue and its genre, leveraging domain-driven data analysis and informed…Continue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all…

Provide an LLM agent with a suite of robust tools it can use to interact with a graph databaseKnowledge graphs provide a great representation of data with flexible data schema that can store structured and unstructured information. You can use Cypher statements to retrieve information from a graph database like Neo4j. One option is to use LLMs to generate Cypher statements. While that option provides excellent flexibility, the truth is that base LLMs are still brittle at consistently generating precise Cypher statements.…

Find The Sentiment You’re Looking For 🔍🤔😀🚀Semantic search over emojis for “halloween” using a custom emoji search engine.If you’ve ever used Google Docs, or Slack, you may have noticed that when you type a “:” immediately followed by another character, a list of emojis pops up:Since I discovered this, I’ve been making major use out of the feature. I add emojis into way more of my messages, blog posts, and other written works than I ever imagined I would. I actually got so accustomed to this means of adding emojis that I…

Enhancing Communication in Global Markets: Leveraging PGVector for Multilingual Semantic Search, Llama2-Powered RAG Systems, and…Continue reading on Towards Data Science » Enhancing Communication in Global Markets: Leveraging PGVector for Multilingual Semantic Search, Llama2-Powered RAG Systems, and…Continue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each…

Unlock the potential of cross-language information accessibility with advanced transcription and semantic search technologiesContinue reading on Towards Data Science » Unlock the potential of cross-language information accessibility with advanced transcription and semantic search technologiesContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink…

Recently I have talked to a handful of fellow students and scholars who had research interests which involved the analysis of free-form text. Unfortunately to everyone, gaining meaningful insight to written natural language is not a trivial task by any measures. Close reading is of course an option, but you would ideally prefer to look at textual data through a more macro-analytical/quantitative lens as well. Not to mention that in the age of big data close reading is rarely a feasible option.By far my favorite way to…