opensemanticsearch/open-semantic-search
Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, search user interface & search apps for fulltext search, faceted search & knowledge graph) observed · 2026-08-28
Health v2 · maintenance only
40/100
- Activity 17
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3808
- days_rel: n/a
- days_push: 501
- n_releases_24m: 0
Adoption not part of the score
1203 stars · 200 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An open-source integrated search server and ETL framework for processing, analyzing, and exploring large document collections. It combines fulltext and faceted search with text mining, OCR, named entity recognition, and knowledge graph features on your own server.
Use cases
- search and explore large document collections with semantic and faceted search
- extract text and run OCR on PDFs and images for indexing
- perform named entity recognition for persons, organizations, and locations
- build a self-hosted research tool for investigative journalism
- monitor and analyze news and heterogeneous document sets
- tag and annotate documents collaboratively for knowledge management
- explore document sets with interactive filters and data visualization
When to choose
- you need a self-hosted search engine over many file formats and data sources
- you want integrated ETL, OCR, and text analytics rather than assembling separate tools
- your team needs faceted, exploratory, and semantic search with thesaurus support
- you research large document sets and need entity extraction and knowledge graph navigation
When to avoid
- you only need a lightweight fulltext search for a small website
- you want a fully managed cloud search service without server administration
- your documents are already structured data that a plain database query would serve better
- you need real-time streaming search over rapidly changing data
Facets
application · maturity active
search-engine ocr nlp etl data-visualization web-scraping pdf analytics developer-tools osint analytics self-hosted text-editors self-hosted python semantic-search faceted-search fulltext-search named-entity-recognition text-mining knowledge-graph thesaurus ontologies investigative-journalism document-processing solr spacy tika exploratory-search collaborative-annotation desktop-search search natural-language-processing linux docker web-server
3 sources
- readme: https://github.com/opensemanticsearch/open-semantic-search · fetched 2026-08-28 · f642f655a385
- homepage: https://opensemanticsearch.org · fetched 2026-08-29 · e4d17f0552c8
- site_page: https://opensemanticsearch.org/doc/admin/install · fetched 2026-08-29 · 38a56be689a5
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| opensemanticsearch/open-semantic-search | main | 40 |
For agents
markdown · JSON · MCP: product_card(name="opensemanticsearch/open-semantic-search")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem