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In the era of Large Language Models and vector search, this repository offers tools and processes to answer these three questions: 1) How can I build a dataset with rated queries to measure the qua…
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
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
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
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.
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.
"Stop worrying about Elasticsearch analyzers", my therapist says
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch