Unofficial, but curated list of Vespa.ai resources

This compendium reviews significant published research contributions and industrial engineering practices in leveraging Generative AI and LLMs for developing search, recommender, personalization, a…

Access large language models from the command-line

Implementation of divoom-aurabox

Transparent, robust and trustworthy A/B experimentation for Shopping feeds.

Efficient few-shot learning with cross-encoders.

Full text search that feels like a numpy array

A sample of career ladders I use for my organization, open sourced for anyone.

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

Extra product metadata for the Amazon ESCI dataset

PyPruningRadixTrie - Python version of super fast Radix trie for prefix search & auto-complete

Automatically create Faiss knn indices with the most optimal similarity search parameters.

Combined Ukrainian keyboard layout with typographic symbols

💫 Industrial-strength Natural Language Processing (NLP) in Python

Ukranian NER annotation project

Short CSS code snippets for all your development needs

Train Spacy ner with custom dataset

Named Entity Recognition (NER) Annotation tool for SpaCy. Generates Traning Data as a JSON which can be readily used.

Minimal keyword extraction with BERT

Extract Keywords from sentence or Replace keywords in sentences.

A fast and simple JavaScript library specifically targeted at collecting search and search related browser events.

Search Management UI

A natural language search microservice

"Stop worrying about Elasticsearch analyzers", my therapist says

Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

Readings in Databases

Named Entity Recognition based on dictionaries