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What is Neum AI?
Neum AI is a platform designed to enhance the search engine optimization (SEO) of companies. It achieves this by optimizing and synchronizing embeddings, thereby providing accurate and current context for AI applications. Neum AI enables synchronization between vector stores like Pinecone, Weaviate, and ElasticSearch, and data sources such as Azure Blob Storage and Amazon S3.
Information
- Financing
- $500.00K
- Revenue
- $1.00M
- Language
- English
- Price
- Free
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Website traffic
- Monthly visits16.20K
- Avg visit duration00:00:33
- Bounce rate58.35%
- Unique users--
- Total pages views27.18K
Access Top 5 countries
Traffic source
Neum AI FQA
- How does Neum AI help companies?
- What is the purpose of Neum AI?
- What data sources can be connected to Neum AI?
- How can Neum AI transform and embed data?
- Can Neum AI be run in a private cloud?
Neum AI Use Cases
Optimize and synchronize embeddings for accurate and up-to-date AI applications
Connect data sources and automatically replicate them into vector stores
Set up data pipelines in minutes using built-in connectors for data sources and vector stores
Automatically update vectors as data changes to ensure correct context
Transform and embed data using built-in connectors for embedding models and serverless functions
Control access to data with role-based access controls
Bring your own embedding models, vector stores, and sources
Book a demo to get started
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