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features
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support

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Description

No business desires outdated information when their AI interacts with customers. Neum AI enables organizations to maintain accurate and current context within their AI solutions. By utilizing pre-built connectors for various data sources such as Amazon S3 and Azure Blob Storage, as well as vector stores like Pinecone and Weaviate, you can establish your data pipelines within minutes. Enhance your data pipeline further by transforming and embedding your data using built-in connectors for embedding models such as OpenAI and Replicate, along with serverless functions like Azure Functions and AWS Lambda. Implement role-based access controls to ensure that only authorized personnel can access specific vectors. You also have the flexibility to incorporate your own embedding models, vector stores, and data sources. Don't hesitate to inquire about how you can deploy Neum AI in your own cloud environment for added customization and control. With these capabilities, you can truly optimize your AI applications for the best customer interactions.

Description

PostgresML serves as a comprehensive platform integrated within a PostgreSQL extension, allowing users to construct models that are not only simpler and faster but also more scalable directly within their database environment. Users can delve into the SDK and utilize open-source models available in our hosted database for experimentation. The platform enables a seamless automation of the entire process, from generating embeddings to indexing and querying, which facilitates the creation of efficient knowledge-based chatbots. By utilizing various natural language processing and machine learning techniques, including vector search and personalized embeddings, users can enhance their search capabilities significantly. Additionally, it empowers businesses to analyze historical data through time series forecasting, thereby unearthing vital insights. With the capability to develop both statistical and predictive models, users can harness the full potential of SQL alongside numerous regression algorithms. The integration of machine learning at the database level allows for quicker result retrieval and more effective fraud detection. By abstracting the complexities of data management throughout the machine learning and AI lifecycle, PostgresML permits users to execute machine learning and large language models directly on a PostgreSQL database, making it a robust tool for data-driven decision-making. Ultimately, this innovative approach streamlines processes and fosters a more efficient use of data resources.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

ChatGPT
OpenAI
Azure Blob Storage
BERT
Codestral Mamba
Elixir
GPT-4
Lua
Mathstral
Mistral AI
Mistral Small
Mixtral 8x22B
ORCA
PHP
Perl
Postico
Replicate
Rust
Tableau
TensorFlow

Integrations

ChatGPT
OpenAI
Azure Blob Storage
BERT
Codestral Mamba
Elixir
GPT-4
Lua
Mathstral
Mistral AI
Mistral Small
Mixtral 8x22B
ORCA
PHP
Perl
Postico
Replicate
Rust
Tableau
TensorFlow

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$.60 per hour
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Neum AI

Website

www.neum.ai/

Vendor Details

Company Name

PostgresML

Website

postgresml.org

Product Features

Product Features

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