nuclia / nucliadb
NucliaDB, The AI Search database for RAG
Why this job: matched by what the repo talks about: rag, search, database
What it does
- Store text, files, vectors, labels and annotations
- Perform text searches and given a word or set of words, return resources in our database that contain them.
- Perform semantic searches with vectors. For example, given a set of vectors, return the closest matches in our database. With NLP, this allows us to look for similar sentences without being constrained by exact keywords.
- Export your data in a format compatible with most NLP pipelines (HuggingFace datasets, pytorch, etc)
- Store original data, extracting and data pulled from the Understanding API
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit yesterday
- Stars
- 721
- +1 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v7.2.0
- Released 18 days ago
- Built with
- Python
- 76% of the code
Is it looked after?
- Contributors
- 10
- Last 90 days
- Issues
- 91% closed
- 1 still open
- Pull requests
- 3,603 merged
- 6 waiting
- Releases
- 114
- 17 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 76%
- Rust 20%
- PureBasic 4%
- Go Template <1%
Topics
- database
- language-model
- machine-learning
- mlops
- search
- search-engine
- search-engines
- semantic
- semantic-search-engine
- text-classification
- unstructured-data
- vector-search
Project record
- JobRAG and search
- StatusListed
- Commits4,096
- Forks59
- Watching19
- Stars in 28 days+1
- CreatedApr 5, 2022
- First seen by usNov 7, 2026
- CheckedNov 10, 2026