Main blog
Welcome to our Main Blog, the cornerstone of our exploration into information retrieval. This dedicated space serves as a comprehensive repository where we delve into our research, findings, and various topics predominantly centered around information retrieval.
Best Large Language Models You Can Use in 2025 (Full Guide)
Curious about which large language models are dominating 2025? This comprehensive guide breaks down the top options—open-source, hybrid, and commercial, helping you choose the right AI tool for your needs.
Evaluating Solr Vector Search with Quepid
This blog post explore a practical way to evaluate the performance of vector search results in Apache Solr.
Challenges in Mathematical Formulae Retrieval
How do you retrieve mathematical formulae? What are the main problems and challenges in mathematical formulae retrieval?
From Natural Language to Structured Solr Queries using LLMs
It explores translating natural language queries into structured Solr queries using LLM and metadata to improve search and user experience.
OpenSearch Neural Sparse Search Tutorial
This blog post will focus on exploring Neural Sparse Search, an alternative approach to neural text search.
Chess Information Retrieval Insights
See how to set up a collection and queries for chess information retrieval. Here we describe a search engine to improve the chess experience.
Image Retrieval Using ViT + Generative Pre-trained Transformer (GPT)
Implementation of image retrieval through a textual query using a Vision Transformer and a GPT for image captioning.
OpenSearch Neural Search Tutorial: Hybrid Search
The new implementation of hybrid search (from OpenSearch 2.10), allows for the combination and normalization of query relevance scores.
OpenSearch Neural Search Tutorial: How Filtering Works
This blog post is about how Filtering works in OpenSearch, exploring its importance, and how it is handle in vector search.
Find and Replace in Elasticsearch Fields
In this blog post we explore how to find and replace a specific value within a field of an Elasticsearch index.
Exploring Sexism in Information Retrieval Systems with NLP and ML
This blog is about the use of NLP and ML techniques to detect and prevent the use of sexism in Information Retrieval Systems
OpenSearch KNN Plugin Tutorial
It explores the OpenSearch k-NN Plugin, which offers 3 different approaches for retrieving the k-nearest neighbors from a vector index.
OpenSearch Neural Search Plugin Tutorial: Additional Useful Tools
The second part of OpenSearch Neural Search Plugin Tutorial for version 2.4.0 where additional tools can be found that might be useful
When and How to Use N-grams in Elasticsearch
This blogpost describes the use cases where n-grams are useful, explain the risks of using them, and present some alternative solutions that should be considered.
Hybrid Search with Apache Solr
This blog shows how to run a hybrid search(keyword-based search + vectors) in Apache Solr with code examples and explanations!
How Does Fuzzy Queries Work in Elasticsearch?
This blog post gives you an overview of how fuzzy queries work in Elasticsearch with examples and references.