How do you retrieve mathematical formulae? What are the main problems and challenges in mathematical formulae retrieval?
Let’s explore how to obtain a set of documents randomly sorted, regardless of their relevance, in Apache Solr.
Explore the risks of feedback loops and model contamination in AI, including real-world examples and solutions to ensure reliable and unbiased AI systems.
It explores translating natural language queries into structured Solr queries using LLM and metadata to improve search and user experience.
This blog post will focus on exploring Neural Sparse Search, an alternative approach to neural text search.
This blog post is a tutorial for the implementation of a text search API from a Postgres database with code examples.
See how to set up a collection and queries for chess information retrieval. Here we describe a search engine to improve the chess experience.
Let’s announce the twenty-first edition of the London Information Retrieval & AI Meetup, a hybrid event about Information Retrieval.
Implementation of image retrieval through a textual query using a Vision Transformer and a GPT for image captioning.
The new implementation of hybrid search (from OpenSearch 2.10), allows for the combination and normalization of query relevance scores.
We are Sease, an Information Retrieval Company based in London, focused on providing R&D project guidance and implementation, Search consulting services, Training, and Search solutions using open source software like Apache Lucene/Solr, Elasticsearch, OpenSearch and Vespa.
