Awesome Search / Topics / Types of search / Vectors/Semantic search / Embeddings / Encoder models |
| Query/Document tokens interaction | | | |
Awesome Search / Topics / Areas of application |
| Geo-Spatial Search | | | |
| Medical and Healthcare Search | | | |
| Social Media and User-Generated Content Search | | | |
| Question Answering Systems | | | |
| Personal Information Management | | | |
Awesome Search / Unsorted |
| sandbox Jun 2021 | 1,389 | about 1 month ago | |
| sandbox May 2021 | 1,389 | about 1 month ago | |
| sandbox April 2021 | 1,389 | about 1 month ago | |
| sandbox Dec 2020 | 1,389 | about 1 month ago | |
| sandbox Jan 2020 | 1,389 | about 1 month ago | |
Awesome Search / General, fun, philosophy |
| Falsehoods Programmers Believe About Search | | | |
| Ethical Search: Designing an irresistible journey with a positive impact | | | |
| On Semantic Search | | | |
| Feedback debt: what the segway teaches search teams | | | |
| Supporting the Searcher’s Journey: When and How | | | |
| Shopping is Hard, Let’s go Searching! | | | |
| An Introduction to Search Quality | | | |
| On-Site Search Design Patterns for E-Commerce: Schema Structure, Data Driven Ranking & More | | | |
| In Search of Recall | | | |
| Balance Your Search Budget! | | | |
Awesome Search / Types of search |
| Evolution of Search Technology: A Look Ahead | | | |
Awesome Search / Types of search / Classic/Lexical Search |
| Targeting Broad Queries in Search | | | Etsy |
| How Etsy Uses Thermodynamics to Help You Search for “Geeky” | | | |
| Broad and Ambiguous Search Queries | | | |
| Deconstructing E-Commerce Search: The 12 Query Types | | | |
Awesome Search / Types of search / Vectors/Semantic search |
| Nearest Neighbor Indexes for Similarity Search | | | |
| The Missing WHERE Clause in Vector Search | | | |
| Symmetric vs. Asymmetric Semantic Search | | | |
| Bi-encoder vs Cross encoder?When to use which one? | | | |
| What is ColBERT and Late Interaction and Why They Matter in Search? | | | |
| Choosing the best model for semantic search | | | |
| Announcing the Vespa ColBERT embedder | | | |
| What is ColBERT and Late Interaction and Why They Matter in Search? | | | |
| Matryoshka embeddings: faster OpenAI vector search using Adaptive Retrieval | | | |
| Introduction to Matryoshka Embedding Models | | | |
| Matryoshka representations. A guide to faster semantic search | | | |
| Hybrid Search: SPLADE (Sparse Encoder) | | | |
| SPLADE for Sparse Vector Search Explained | | | |
Awesome Search / Types of search / Hybrid search |
| Hybrid search > sum of its parts? | | | |
| On Hybrid Search | | | |
| Hybrid search with Re-ranking | | | |
| Hybrid search with Re-ranking | | | |
| Reciprocal rank fusion | | | |
Awesome Search / Types of search / Multimodal search |
| Muves: Multimodal & multilingual vector search w/ Hardware Acceleration | | | |
| Model Selection for Multimodal Search | | | |
Awesome Search / Areas of application / Enterprise search |
| GenAI Can Improve Enterprise Search, But Remains a Work In Progress | | | |
Awesome Search / Areas of application / e-Commerce search |
| The influence of TF-IDF algorithms in eCommerce search | | | |
Awesome Search / Areas of application / Conversational search |
| Search as a Conversation | | | |
| Affordances for Conversational Search | | | |
| Query Understanding and Chatbots | | | |
Awesome Search / Search Results / Retrieval |
| Humans Search for Things not for Strings | | | |
| What is a ‘Relevant’ Search Result? | | | |
| How to Achieve Ecommerce Search Relevance | | | |
| Setting up a relevance evaluation program | | | |
| Understanding the BM25 full text search algorithm | | | |
| How Shards Affect Relevance Scoring in Elasticsearch | | | Practical BM25: , |
| The influence of TF-IDF algorithms in eCommerce search | | | |
| BM25 The Next Generation of Lucene Relevance | | | |
| Lucene Similarities (BM25, DFR, DFI, IB, LM) Explained | | | |
Awesome Search / Search Results / Ranking |
| Multi stage ranking | | | |
| How is search different than other machine learning problems? | | | |
| Reinforcement learning assisted search ranking | | | |
| E-commerce Search Re-Ranking as a Reinforcement Learning Problem | | | |
| When to use a machine learned vs. score-based search ranker | | | |
| What is Learning To Rank? | | | |
| Using AI and Machine Learning to Overcome Position Bias within Adobe Stock Search | | | |
| Train and Test Sets Split for Evaluating Learning To Rank Models | | | |
| How LambdaMART works - optimizing product ranking goals | | | |
| Click models | 16 | almost 4 years ago | |
| Click Modeling for eCommerce | | | |
| Using Behavioral Data to Improve Search | | | |
Awesome Search / Search Results / Bias |
| What is Presentation Bias in search? | | | |
| Dealing with Position Bias in Recommendations and Search | | | |
Awesome Search / Search Results / Diversification |
| Search Result Diversification using Causal Language Models | | | |
| Learning to Diversify for E-commerce Search with Multi-Armed Bandit | | | |
| Search Quality for Discovery & Inspiration | | | |
| How to measure Diversity of Search Results | | | |
| Searching for Goldilocks | | | |
| Broad and Ambiguous Search Queries - Recognizing When Search Results Need Diversification | | | |
| Thoughts on Search Result Diversity | | | |
| How to Calculate MMR? | | | |
| Maximal Marginal Relevance to Re-rank results in Unsupervised KeyPhrase Extraction | | | |
Awesome Search / Search Results / Personalisation |
| Patterns for Personalization in Recommendations and Search | | | |
| Personalization | | | Daniel Tunkelang |
| Real-time personalization in search | | | Airbnb - |
| 98 personal data points that facebook uses to target ads to you | | | |
| Architecture of real world recommendation systems | | | |
| Feature engineering for personalized search | | | |
Awesome Search / Search Results / Zero search results |
| Strategies for using alternative queries to mitigate zero results and their application to online marketplaces | | | |
| Semantic Equivalence of e-Commerce Queries | | | |
Awesome Search / Search UX / Baymard Institute |
| Deconstructing E-Commerce Search: The 12 Query Types | | | |
| Autodirect or Guide Users to Matching Category | | | |
| 13 Design Patterns for Autocomplete Suggestions (27% Get it Wrong) | | | |
| E-Commerce Search Needs to Support Users’ Non-Product Search Queries (15% Don’t) | | | |
| Search UX: 6 Essential Elements for ‘No Results’ Pages | | | |
| Product Thumbnails Should Dynamically Update to Match the Variation Searched For (54% Don’t) | | | |
| Faceted Sorting - A New Method for Sorting Search Results | | | |
| The Current State of E-Commerce Search | | | |
| E-Commerce Sites Need Multiple of These 5 ‘Search Scope’ Features | | | |
| E-Commerce Search Field Design and Its Implications | | | |
| E-Commerce Sites Should Include Contextual Search Snippets (96% Get it Wrong) | | | |
| E-Commerce Search Usability: Report & Benchmark | | | |
| Six ‘COVID-19’ Related E-Commerce UX Improvements to Make | | | |
Awesome Search / Search UX / Nielsen Norman Group |
| The Love-at-First-Sight Gaze Pattern on Search-Results Pages | | | |
| Good Abandonment on Search Results Pages | | | |
| Complex Search-Results Pages Change Search Behavior: The Pinball Pattern | | | |
| Site Search Suggestions | | | |
| Search-Log Analysis: The Most Overlooked Opportunity in Web UX Research | | | |
| Scoped Search: Dangerous, but Sometimes Useful | | | |
| 3 Guidelines for Search Engine "No Results" Pages | | | |
Awesome Search / Search UX / Enterprise Knowledge LLC |
| Optimizing Your Search Experience: A Human-Centered Approach to Search Design | | | |
Awesome Search / Search UX / Facets |
| Facets of Faceted Search | | | |
| Coffee, Coffee, Coffee! | | | |
| Faceted Search | | | (start here!) |
| How to implement faceted search the right way | | | |
| Metadata and Faceted Search | | | |
| Metacrap: Putting the torch to seven straw-men of the meta-utopia | | | |
| 7 Filtering Implementations That Make Macy’s Best-in-Class | | | |
| Facet Search: The Most Comprehensive Guide. Best Practices, Design Patterns, Hidden Caveats, And Workarounds | | | |
| Facets: Constraints or Preferences? | | | |
| Facets, But Which Ones? | | | |
| How Many Facets Should a Taxonomy Have | | | |
| When a Taxonomy Should not be Hierarchical | | | |
| Customizing Taxonomy Facets | | | |
Awesome Search / Search UX / Other |
| Learning from Friction to Improve the Search Experience | | | |
| Why is it so hard to sort by price? | | | |
| Faceted Sorting | | | |
| Google kills Instant Search | | | |
Awesome Search / Spelling correction |
| "How to Write a Spelling Corrector" | | | Peter Norvig. . Classic publication |
| "Spelling Correction" | | | Daniel Tunkelang |
| A simple spell checker built from word vectors | | | |
| 1 | | | A closer look into the spell correction problem: , , , |
| Deep Spelling | | | |
| Modeling Spelling Correction for Search at Etsy | | | |
| Sympell | 3,169 | 3 months ago | Wolf Garbe. Author of . , , |
| Chars2vec: character-based language model for handling real world texts with spelling errors and | | | |
| library | 618 | 5 months ago | JamSpell, spelling correction taking into account surrounding context - , (in russian) |
| Embedding for spelling correction | | | |
| A simple spell checker built from word vectors | | | |
| What are some algorithms of spelling correction that are used by search engines? | | | |
| Moman | 28 | almost 5 years ago | lucene/solr/elasticsearch spell correction/autocorrect is (was?) actually powered by this library |
| Query Segmentation and Spelling Correction | | | |
| Applying Context Aware Spell Checking in Spark NLP | | | |
| Autocorrect in Google, Amazon and Pinterest and how to write your own one | | | |
Awesome Search / Synonyms |
| Boosting the power of Elasticsearch with synonyms | | | |
| Real Talk About Synonyms and Search | | | |
| Synonyms in Solr I — The good, the bad and the ugly | | | |
| Synonyms and Antonyms from WordNet | | | |
| Synonyms and Antonyms in Python | | | |
| Dive into WordNet with NLTK | | | |
| Creating Better Searches Through Automatic Synonym Detection | | | |
| Multiword synonyms in search using Querqy | | | |
| How to Build a Smart Synonyms Model | | | |
| The importance of Synonyms in eCommerce Search | | | |
Awesome Search / Stopwords |
| Do all-stopword queries matter? | | | |
Awesome Search / Suggestions |
| Bootstrapping Autosuggest | | | Giovanni Fernandez-Kincade.
, , , , |
| On two types of suggestions | | | |
| Improving Search Suggestions for eCommerce | | | |
| Autocomplete Search Best Practices to Increase Conversions | | | |
| Why we’ve developed the searchhub smartSuggest module and why it might matter to you | | | |
| Site Search Suggestions | | | Nielsen Norman Group: |
| 13 Design Patterns for Autocomplete Suggestions | | | |
| Autocomplete | | | |
| Autocomplete and User Experience | | | |
| IMPLEMENTING A LINKEDIN LIKE SEARCH AS YOU TYPE WITH ELASTICSEARCH | | | |
| Smart autocomplete best practices: improve search relevance and sales | | | |
| Building Corpus for AutoSuggest (Part 1) | | | OLX: , |
| Autocomplete, Live Search Suggestions, and Autocorrection: Best Practice Design Patterns | | | |
| Mirror, Mirror, What Am I Typing Next? All About Search Suggestions | | | |
| How we built the lightning fast autosuggest for otto.de | | | |
Awesome Search / Graphs/Taxonomies/Knowledge Graph / Integrating Search and Knowledge Graphs (by Enterprise Knowledge) |
| Part 1: Displaying Relationships | | | |
| Search query expansion with query embeddings | | | |
Awesome Search / Query expansion |
| Fundamentals of query rewriting (part 1): introduction to query expansion | | | |
Awesome Search / Query understanding |
| Query Understanding | | | Daniel Tunkelang |
| Query Understanding, Divided into Three Parts | | | |
| Search for Things not for Strings | | | |
| Part 1 | | | Understanding the Search Query. , , |
| Food Discovery with Uber Eats: Building a Query Understanding Engine | | | |
| AI for Query Understanding | | | |
Awesome Search / Query understanding / Search Intent |
| Mapping Search Queries To Search Intents | | | |
| Search: Intent, Not Inventory | | | |
Awesome Search / Query understanding / Query segmentation |
| Unsupervised Query Segmentation Using only Query Logs | | | Paper |
| Towards Semantic Query Segmentation | | | Paper |
Awesome Search / Algorithms / BERT |
| Understanding BERT and Search Relevance | | | |
| Google is improving web search with BERT – can we use it for enterprise search too? | | | |
Awesome Search / Algorithms / ColBERT |
| Pretrained Transformer Language Models for Search - part 3 | | | |
Awesome Search / Algorithms / Collocations, common phrases |
| Automatically detect common phrases – multi-word expressions / word n-grams – from a stream of sentences. | | | |
| The Unreasonable Effectiveness of Collocations | | | |
Awesome Search / Algorithms / Other Algorithms |
| One hot encoding | | | |
| Writing a full-text search engine using Bloom filters | | | |
| Locality Sensitive Hashing | | | |
| Locality Sensitive Hashing (LSH): The Practical and Illustrated Guide | | | |
| Minhash | | | |
| Better than Average: Sort by Best Rating | | | |
| How Not To Sort By Average Rating | | | |
| Keyword Extraction using RAKE | | | |
| Yet Another Keyword Extractor (Yake) | 1,658 | about 1 year ago | |
| Keyword Extraction with BERT | | | |
| |
| OpenSearch User Behavior Insights | 22 | about 1 month ago | |
| Site Search tracking with Google Analytics 4 | | | |
| Snowplow | | | |
| search-colletor | 41 | 5 months ago | |
| OpenTelemetry with search additions | | | |
| Pulse Query Analytics | | | |
| Tracking who's hot and who's not presents an algorithmic challenge | | | |
Awesome Search / Tracking, profiling, GDPR, Analysis / Resources |
| Anonymisation: managing data protection risk (code of practice) | | | |
| The Anonymisation Decision-Making Framework | | | |
| 98 personal data points that facebook uses to target ads to you | | | |
| Opportunity Analysis for Search | | | |
| A Face Is Exposed for AOL Searcher No. 4417749 | | | |
| AOL search data leak | | | |
| Personal data | | | |
Awesome Search / Experiments |
| Common Pitfalls of Search Experimentation | | | |
| Improving Search @scale with efficient query experimentation | | | |
Awesome Search / Experiments / A/B testing, MABs |
| A/B Testing for Search is Different | | | |
| A/B Testing Search: thinking like a scientist | | | |
Awesome Search / Testing, metrics, KPIs / Metrics |
| Discounted cumulative gain | | | |
| Flavors of NDCG - normalized to what!? | | | |
| Mean reciprocal rank | | | |
| P@k | | | |
| Demystifying nDCG and ERR | | | |
| Choosing your search relevance evaluation metric | | | |
| How to Implement a Normalized Discounted Cumulative Gain (NDCG) Ranking Quality Scorer in Quepid | | | |
| https://en.wikipedia.org/wiki/Precision_and_recall | | | |
| https://en.wikipedia.org/wiki/F1_score | | | |
| Visualizing search metrics | | | |
| Choosing your search relevance evaluation metric | | | |
| Compute Mean Reciprocal Rank (MRR) using Pandas | | | |
| Recommender Systems: Machine Learning Metrics and Business Metrics | | | |
Awesome Search / Testing, metrics, KPIs / KPIs |
| 5 Right Ways to Measure How Search Is Performing | | | |
| Part 1 – Customers | | | E-commerce Site-Search KPIs. , , |
| Learning from Friction to Improve the Search Experience | | | |
| Behind the Wizardry of a Seamless Search Experience | | | |
| Analyzing online search relevance metrics with the Elastic Stack | | | |
| How to Gain Insight From Search Analytics | | | |
Awesome Search / Testing, metrics, KPIs / Evaluating Search (by Daniel Tunkelang) |
| Measure It | | | |
| Measuring Searcher Behavior | | | |
| Using Human Judgement | | | |
| When There’s No Conversion Rate | | | |
Awesome Search / Testing, metrics, KPIs / Measuring Search (by James Rubinstein) |
| Statistical and human-centered approaches to search engine improvement | | | |
| A Human Approach | | | |
| Setting up a relevance evaluation program | | | |
| Metrics Matter | | | |
| A/B Testing Search: thinking like a scientist | | | |
| Query Triage: The Secret Weapon for Search Relevance | | | |
| The Launch Review: bringing it all together… | | | |
Awesome Search / Testing, metrics, KPIs / Three Pillars of Search Relevancy (by Andreas Wagner) |
| Part 1: Findability | | | |
| part 2: Search Quality For Discovery & Inspiration | | | |
Awesome Search / Architecture |
| The Art Of Abstraction – Revisiting Webshop Architecture | | | |
Awesome Search / Architecture / Canva |
| Part One | | | outline of the challenges faced |
| Part Two | | | new search arcthitecture |
Awesome Search / Architecture |
| Event-Driven Architecture for Efficient Search Indexing | | | |
Awesome Search / Education and networking / Conferences |
| Activate | | | |
| Berlin buzzword | | | |
| Haystack | | | |
| Elastic{ON} | | | |
| MIX-CAMP E-COMMERCE SEARCH | | | |
| SIGIR eCommerce | | | |
Awesome Search / Education and networking / Conferences / SIGIR eCommerce |
| 2019 | | | |
| 2018 | | | |
| 2017 | | | |
Awesome Search / Education and networking / Trainings and courses |
| Elasticsearch "Think Like a Relevance Engineer" | | | |
| Solr "Think Like a Relevance Engingeer" | | | |
| Beyond Search Relevance: Understanding and Measuring Search Result Quality | | | |
| Hello LTR | | | |
Awesome Search / Education and networking / Books |
| AI-powered search | | | |
| Relevant Search | | | |
| Deep Learning for search | | | |
| Interactions with search systems | | | |
| Embeddings in Natural Language Processing. Theory and Advances in Vector Representation of Meaning | | | |
| Search User Interfaces | | | |
| Search Patterns | | | |
| Search Analytics for Your Site: Conversations with Your Customers | | | |
| Click Models for Web Search | | | |
| Optimization Algorithms | | | |
Awesome Search / Education and networking / Blogs and Portals |
| Searchnews | | | |
Awesome Search / Education and networking / Papers |
| List of papers | | | |
Awesome Search / Management, Search Team |
| Search is a Team Sport | | | |
| Thoughts about Managing Search Teams | | | |
| On Search Leadership | | | |
| Building an Effective Search Team: the key to great search & relevancy | | | |
| Query Triage: The Secret Weapon for Search Relevance | | | |
| The Launch Review: bringing it all together | | | |
| The Role of Search Product Owners | | | |
| Search Product Management: The Most Misunderstood Role in Search? | | | |
| Search relevance for understaffed teams | | | |
Awesome Search / Management, Search Team / Job Interviews |
| Interview Questions for Search Relevance Engineers, Data Scientists, and Product Managers | | | |
| Data Science Interviews: Ranking and search | 9,002 | 4 months ago | |
Awesome Search / Management, Search Team / Engineering |
| Technical debt in search | | | |
Awesome Search / Blogposts series / Search Optimization 101 (by Charlie Hull) |
| How do I know that my search is broken? | | | |
| What does it mean if my search is ‘broken’? | | | |
| How do you fix a broken search? | | | |
| Reducing business risk by optimizing search | | | |
Awesome Search / Blogposts series / Query Understanding (by Daniel Tunkelang) |
| An Introduction | | | |
| Language Identification | | | |
| Character Filtering | | | |
| Tokenization | | | |
| Spelling Correction | | | |
| Stemming and Lemmatization | | | |
| Query Rewriting: An Overview | | | |
| Query Expansion | | | |
| Query Relaxation | | | |
| Query Segmentation | | | |
| Query Scoping | | | |
| Entity Recognition | | | |
| Taxonomies and Ontologies | | | |
| Autocomplete | | | |
| Autocomplete and User Experience | | | |
| Contextual Query Understanding: An Overview | | | |
| Session Context | | | |
| Location as Context | | | |
| Seasonality | | | |
| Personalization | | | |
| Search as a Conversation | | | |
| Clarification Dialogues | | | |
| Relevance Feedback | | | |
| Faceted Search | | | |
| Search Results Presentation | | | |
| Search Result Snippets | | | |
| Search Results Clustering | | | |
| Question Answering | | | |
| Query Understanding and Voice Interfaces | | | |
| Query Understanding and Chatbots | | | |
Awesome Search / Blogposts series / Grid Dynamics |
| Not your father’s search engine: a brief history of retail search | | | |
| Semantic vector search: the new frontier in product discovery | | | |
| Boosting product discovery with semantic search | | | |
| Semantic query parsing blueprint | | | |
Awesome Search / Blogposts series / Considering Search: Search Topics (by Derek Sisson) |
| Intro | | | |
| Assumptions About Search | | | |
| Assumptions About User Search Behavior | | | |
| Types of Information Collections | | | |
| A Structural Look at Search | | | |
| Users and the Task of Information Retrieval | | | |
| Testing Search | | | |
| Useful Search Links and References | | | |
Awesome Search / Industry players / Personalies and influencers |
| Daniel Tunkelang (he is God of Search) | | | |
| Max Irwin | | | |
| Doug Turnbull | | | |
| Baymard’s Institute | | | |
Awesome Search / Industry players / Products and services |
| Algolia | | | |
| Elasticsearch | 71,007 | about 1 month ago | Distributed search & analytics engine |
| Solr | | | Solr is the blazing-fast, open source, multi-modal search platform built on the full-text vector, and geospatial search capabilities of Apache Lucene |
| Fess Enterprise Search Server | 1,006 | about 2 months ago | |
| Typesense | 21,516 | about 1 month ago | an opensource alternative to Algolia |
| SearchHub.io | | | |
| Datafari | | | an open source enterprise search solution |
| Qdrant | | | an open source vector database |
| Awakari | | | Real-Time search from unlimited sources like RSS, Fediverse, Telegram. Text keyword matching conditions, numeric conditions, condition groups. Reverse search index based |
| Meilisearch | | | Open source search API that supports full-text, vector, geospatial & faceted search |
Awesome Search / Industry players / Consulting companies |
| BigData Boutique | | | |
| OpenSource Connections | | | |
| https://sease.io/ | | | |
| Sematext | | | |
Awesome Search / Case studies |
| Machine Learning-Powered Search Ranking of Airbnb Experiences | | | Airbnb - |
| Listing Embeddings in Search Ranking | | | Airbnb - |
| The Architecture Of Algolia’s Distributed Search Network | | | Algolia - |
| BERT在美团搜索核心排序的探索和实践 | | | Meituan - Exploration and practice of BERT in the core ranking of Meituan search (🇨🇳 ) |
| Part 1 | | | Netflix - How Netflix Content Engineering makes a federated graph searchable ( , ) |
| Elasticsearch Indexing Strategy in Asset Management Platform (AMP) | | | Netflix - |
| Learning to Rank for Flight Itinerary Search | | | Skyscanner - |
| Search at Slack | | | Slack - |
| Stability and scalability for search | | | Twitter - |
| Amazon SEO Explained: How to Rank Your Products #1 in Amazon Search Results in 2020 | | | |
| Building a Better Search Engine for Semantic Scholar | | | |
Awesome Search / Case studies / General search |
| How Bing Ranks Search Results: Core Algorithm & Blue Links | | | |
| How Google Search Ranking Works – Darwinism in Search | | | |
Awesome Search / Case studies / E-commerce |
| Searchandising | | | |
Awesome Search / Case studies / Multisided markets |
| Discover How Cassini (The eBay Search Engine) Works and Rank | | | |
Awesome Search / Videos / Channels |
| Lucid Thoughts | | | |
| Lucidworks | | | |
| MIx-Camp E-commerce Search | | | |
| OpenSource Connections | | | |
| SIGIR eCom | | | |
Awesome Search / Videos / Featured |
| Relevant Facets | | | |
Awesome Search / Datasets |
| Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search | 256 | 3 months ago | |
| ESCI-S: extended metadata for Amazon ESCI dataset | 38 | about 2 years ago | |
| Home Depot Product Search Relevance | | | |
| WANDS - Wayfair ANnotation Dataset | 66 | 11 months ago | |
| |
| Word2Vec For Phrases — Learning Embeddings For More Than One Word | | | |
| Gensim Word2Vec Tutorial | | | |
| How to incorporate phrases into Word2Vec – a text mining approach | | | |
| Word2Vec — a baby step in Deep Learning but a giant leap towards Natural Language Processing | | | |
| How to Develop Word Embeddings in Python with Gensim | | | |
| |
| Query Segmenter | 1 | over 4 years ago | |
| https://github.com/zentity-io/zentity | 158 | 6 months ago | |
| https://github.com/mammothb/symspellpy | 809 | about 1 month ago | |
| https://github.com/searchhub/search-collector | 41 | 5 months ago | |
| Kiri | 243 | over 3 years ago | State-of-the-art semantic search made easy |
| Haystack | 18,094 | about 1 month ago | End-to-end Python framework for building natural language search interfaces to data |
| https://github.com/castorini/docTTTTTquery | 359 | almost 2 years ago | |
| |
| Chorus | 144 | about 1 month ago | , , |
| Quepid | 285 | about 1 month ago | |
| Rated Ranking Evaluator | 180 | 10 months ago | |
| Jina AI | 21,180 | 2 months ago | A neural search framework |
Awesome Search / Other awesome stuff |
| Awesome Knowledge Graphs | 75 | over 3 years ago | |
| Awesome time series | 13 | over 4 years ago | |
| Awesome Spacy | 15 | about 5 years ago | |
| Query-Understanding | 56 | almost 7 years ago | |
| Click models | 16 | almost 4 years ago | |
awesome-search 
dzharii/awesome-elasticsearch
intellabs/fastrag
sylphai-inc/adalflow
lm-sys/fastchat
jina-ai/dalle-flow
arklumpus/mupdfcore
aburch/simutrans
docarray/docarray
smashedtoatoms/asdf-sbcl
sirensolutions/siren-join
spacejam/sled
mongodb/mongo-go-driver