- This is how all search engine works http://en.wikipedia.org/wiki/vector_space_model 2 comments programming
Linking pages
- GitHub - rekihattori/awesome-programmers: A list of history's greatest software engineers and tech pioneers https://github.com/rekihattori/awesome-programmers 44 comments
- Mapping the World of Music Using Machine Learning: Part 1 | by Ravi Mody | iHeartRadio Tech https://tech.iheart.com/mapping-the-world-of-music-using-machine-learning-part-1-9a57fa67e366 25 comments
- Designing a search system for log data - part 2 - Vallified http://www.philipotoole.com/designing-a-search-system-for-log-data-part-2/ 6 comments
- Latent Semantic Analysis in Ruby - Joseph Wilk http://blog.josephwilk.net/ruby/latent-semantic-analysis-in-ruby.html 2 comments
- The 30 Best Python Libraries and Packages for Beginners https://www.ubuntupit.com/best-python-libraries-and-packages-for-beginners/ 2 comments
- Apache Solr: Because your Database is not a Search Engine | by Gary A. Stafford | ITNEXT https://itnext.io/apache-solr-because-your-database-is-not-a-search-engine-57705352df8a 0 comments
- Gwern.net Website Traffic · Gwern.net https://www.gwern.net/Traffic 0 comments
- An NLU-Powered Tool to Explore COVID-19 Scientific Literature – Google AI Blog https://ai.googleblog.com/2020/05/an-nlu-powered-tool-to-explore-covid-19.html 0 comments
- Leverage Wikipedia to Build Smarter Applications – Data Science Made Simpler https://datasciencemadesimpler.wordpress.com/2016/02/13/leverage-wikipedia-to-build-smarter-applications/ 0 comments
- GitHub - RaRe-Technologies/gensim: Topic Modelling for Humans https://github.com/piskvorky/gensim 0 comments
- Distributed Top-N Similarity Join with Hive and Perl | by Bosko Devetak | Booking.com Engineering | Medium http://blog.booking.com/top-N-similarity-join-with-hive-and-perl-part-I.html 0 comments
- Increasing bleve indexing performance with sharding - Vallified http://www.philipotoole.com/increasing-bleve-performance-sharding/ 0 comments
- GitHub - airalcorn2/Solr-LTR: From Zero to Learning to Rank in Apache Solr https://github.com/airalcorn2/Solr-LTR 0 comments
- How to Build an Open-Domain Question Answering System? | Lil'Log https://lilianweng.github.io/posts/2020-10-29-odqa/ 0 comments
- Vector Embeddings Explained | Weaviate - vector search engine https://weaviate.io/blog/vector-embeddings-explained 0 comments
- Retrieval-Augmented Generation: How to Use Your Data to Guide LLMs | Outerbounds https://outerbounds.com/blog/retrieval-augmented-generation/ 0 comments
- Fundamentals of Retrieval Augmentation Generation (RAG) https://manel.dev/fundamental-rag 0 comments
- Vlad Pomogaev https://pomogaev.ca/yc_critic.html 0 comments
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