Tips and Tricks
Welcome to our Tips and Tricks Blog, your ultimate resource for mastering the nuances of information retrieval. This specialized section is designed to empower professionals, enthusiasts, and learners alike with actionable insights, innovative techniques, and best practices that amplify efficiency and effectiveness in information retrieval tasks.
Apache Solr Lexicographical Order: Possible Unexpected Behaviors
This blog post explores the possible unexpected behaviors that can be encountered with Apache Solr’s lexicographical ordering.
Solr AutoGeneratePhraseQueries and Minimum Should Match with Synonyms
The post discusses the interaction between three Solr parameters: autoGeneratePhraseQueries, synonyms, and minimum should match.
How to Use Apache Solr Request Parameters API
How to set and view Apache Solr Request Parameters API. Including real world examples for the Ping functionality.
Apache Solr autoGeneratePhraseQueries and Schema
Explore how the Apache Solr autogeneratePhraseQueries parameter works and how its default is affected by the schema version.
Apache Solr Filter Queries: Integer or String Fields?
This blog post explores whether to index a field in Apache Solr as a string or integer for optimal filter query performance.
Neo4J Optimization Tips
Tips and tricks regarding Neo4J optimization (query optimization, memory and disk configuration).
How to Sort Apache Solr Results in Random Order
Let's explore how to obtain a set of documents randomly sorted, regardless of their relevance, in Apache Solr.
How to calculate aggregations in Elasticsearch as percentages?
This blog post shows you how to calculate aggregations in Elasticsearch as percentages through the use of Bucket Script Aggregation
Online Search Quality Evaluation With Kibana – Queries in Common
This 'tips and tricks' describes the steps to follow to compare models on common queries in online search quality evaluation
How to Import Pandas in AWS Lambda
In this blog post, you will learn how to import the Pandas library in AWS Lambda in order to execute python scripts.
How to Deal with Too Many ‘object’ in Pandas from JSON Parsing
We propose and test a way to manage categorical data during the collection and store it directly as numeric types in the JSON.
Efficiently Manage Numeric Ids in JSON and Pandas
In this blog post we make an experimental analysis to identify the best data type to use when dealing with ids.
How to manage large JSON efficiently and quickly: multiple files
Tips and tricks to find out efficient and fast ways to read and parse a big JSON file in Python using real-world application
How to manage large JSON files in Python efficiently and quickly
Tips and tricks to find out efficient and fast ways to read and parse a big JSON file in Python using real-world application
Drop constant features: a real-world Learning To Rank scenario
Does removing constant features affect model performance? Find out with our real-world Learning to Rank application
The luceneMatchVersion Parameter in Apache Solr
This blog explores how the luceneMatchVersion parameter in the solrconfig.xml works in Apache Solr. Dos and don'ts, and anything in between.
Common Errors with Apache Solr Feature and Model Stores
Common errors and warnings in manipulating feature stores and models in Solr. Pay attention also to JVM Heap and Zookeeper.
Apache Solr Learning to Rank Feature Stores and Models
How to list, upload, delete feature stores and models necessary in Solr for learning to rank.