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NVD Quietly Sweeps 100K+ CVEs Into a “Deferred” Black Hole
NVD now marks all pre-2018 CVEs as "Deferred," signaling it will no longer enrich older vulnerabilities, further eroding trust in its data.
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Core library with Neum AI components to connect, load, chunk and sink vector embeddings. Neum AI is a data platform that helps developers leverage their data to contextualize Large Language Models through Retrieval Augmented Generation (RAG) This includes extracting data from existing data sources like document storage and NoSQL, processing the contents into vector embeddings and ingesting the vector embeddings into vector databases for similarity search.
It provides you a comprehensive solution for RAG that can scale with your application and reduce the time spent integrating services like data connectors, embedding models and vector databases.
Sign up today at dasboard.neum.ai. See our quickstart to get started.
The Neum AI Cloud supports a large-scale, distrubted architecture to run millions of documents through vector embedding. For the full set of features see: Cloud vs Local
Install the neumai
package:
pip install neumai
To create your first data pipelines visit our quickstart.
If you are interested in deploying Neum AI to your own cloud contact us at founders@tryneum.com.
We will publish soon an open-source self-host that leverages the framework's architecture to do high throughput data processing.
Connectors
Search
Extensibility
Experimental
FAQs
Package containing connectors for Neum AI.
We found that neumai demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Security News
NVD now marks all pre-2018 CVEs as "Deferred," signaling it will no longer enrich older vulnerabilities, further eroding trust in its data.
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