# harpribot/awesome-information-retrieval

A curated list of awesome information retrieval resources

Repository: https://github.com/harpribot/awesome-information-retrieval
Canonical: https://ross.abutalabs.com/products/awesome-information-retrieval
License: CC0-1.0
License Family: permissive
Last push: 2023-04-20T07:55:24+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3592, "days_push": 1231, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1201, forks 143 (observed 2026-08-28T04:03:58.187764+00:00)

## What it is
A curated awesome-list of information retrieval and web search resources, including books, courses, software, datasets, talks, conferences, and blogs. It serves as a learning and reference hub for IR research and engineering.

## Use cases
- find books to learn information retrieval
- discover courses on search engines and IR
- locate datasets for IR research
- find conferences and blogs about web search
- get started with search engine algorithms
- collect reference material for a search relevance project

## When to choose
- you are learning information retrieval from scratch
- you need a broad curated index of IR learning materials
- you want pointers to datasets, books, and courses in one place

## When to avoid
- you need working search software rather than a resource list
- you need actively maintained tooling or code
- you need production-grade search infrastructure

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: search-engine, nlp, developer-tools
- domain: tutorials, awesome-lists
- platform: -
- tags: awesome-list, information-retrieval, curated-resources, web-search, education, search, natural-language-processing, web-server

## Member repositories
- harpribot/awesome-information-retrieval (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:58.187764+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 2026-08-30T06:20:41.669768+00:00, confidence not recorded.
  - readme: https://github.com/harpribot/awesome-information-retrieval (fetched 2026-08-28T04:03:58.187764+00:00, sha c12e42887d5e)
- Data as of 2026-08-30T08:39:29.467469+00:00.