NucliaDB, The AI Search database for RAG
NucliaDB is a robust database that allows storing and searching on unstructured data.
It is an out of the box hybrid search database, utilizing vector, full text and graph indexes.
NucliaDB is written in Rust and Python. We designed it to index large datasets and provide multi-teanant support.
When utilizing NucliaDB with Nuclia cloud, you are able to the power of an NLP database without the hassle of data extraction, enrichment and inference. We do all the hard work for you.
Trying NucliaDB is super easy! You can extend your knowledge with the following readings:
The core difference and advantage of NucliaDB is its architecture built from the ground up for unstructured data. Its vector index, keyword, graph and fuzzy search provide an API to use all extracted and extracted information from Nuclia, Understanding API and provides powerful NLP abilities to any application with low code and peace of mind.
NucliaDB is open-source under the GNU Affero General Public License Version 3 - AGPLv3. Fundamentally, this means that you are free to use NucliaDB for your project, as long as you don't modify NucliaDB. If you do, you have to make the modifications public.
Our business model relies on our normalization API, this one is based on Nuclia Learning API
and Nuclia Understanding API
. This two APIs offers transformation of unstructured data to NucliaDB compatible data with AI. We also offer NucliaDB as a service at our multi-cloud provider infrastructure: https://nuclia.cloud.
We are always happy to have contributions: code, documentation, issues, feedback, or even saying hello on discord! Here is how you can get started:
✨ And to thank you for your contributions, claim your swag by emailing us at info at nuclia.com.