# frutik/awesome-search

Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness

Repository: https://github.com/frutik/awesome-search
Canonical: https://ross.abutalabs.com/products/awesome-search
Homepage: https://frutik.github.io/awesome-search/
Language: Python
License Family: other
Topics: search, search-engine, spelling-correction, suggestions, ecommerce-search, relevant-search, synonyms, natural-language-processing, query-understanding, autocomplete-suggestions, knowledge-graph, learning-to-rank, semantic-search, search-engines, relevance-algorithms, ranking, search-intents, evaluating-search, search-ux, search-ui
Last push: 2026-08-21T20:59:17+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 100
- inputs: {"age_days": 2550, "days_push": 12, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1559, forks 143 (observed 2026-08-28T04:05:03.534823+00:00)

## What it is
A curated awesome-list and knowledge graph of resources about search and information retrieval, with a strong e-commerce focus. It organizes publications, books, conferences, tools, and case studies by topics like lexical retrieval, embeddings, ranking, and search UX.

## Use cases
- learn about e-commerce search relevance
- find resources on semantic search and embeddings
- study learning-to-rank and ranking algorithms
- research query understanding and autocomplete techniques
- find search evaluation methods and case studies
- discover search engines and IR tools
- keep up with new information retrieval publications

## When to choose
- you are building or improving a search engine, especially for e-commerce
- you want a curated, topic-organized reading list on information retrieval
- you need references on relevance, ranking, synonyms, or search UX

## When to avoid
- you need runnable software or a search library rather than learning material
- you want a general awesome list unrelated to search
- you need a maintained codebase with a license for production use

## Facets
- artifact type: learning-resource
- maturity: active
- function: search-engine, nlp, documentation
- domain: e-commerce, awesome-lists, tutorials
- platform: -
- tags: awesome-list, information-retrieval, ecommerce-search, semantic-search, learning-to-rank, query-understanding, knowledge-graph, curated-resources, search, natural-language-processing, web-server

## Member repositories
- frutik/awesome-search (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:03.534823+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:29:50.196015+00:00, confidence not recorded.
  - readme: https://github.com/frutik/awesome-search (fetched 2026-08-28T04:05:03.534823+00:00, sha d02b45b5a7a8)
  - homepage: https://frutik.github.io/awesome-search/ (fetched 2026-08-29T11:29:40.626653+00:00, sha 1d2f5037e622)
- Data as of 2026-08-30T08:39:29.467469+00:00.