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ease
features
design
support

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Write a Review

Description

Whether you're developing an AI assistant, chatbot, or improving your current application with LLMs, Graphlit simplifies the process. It operates on a serverless, cloud-native architecture that streamlines intricate data workflows, encompassing data ingestion, knowledge extraction, LLM interactions, semantic searches, alert notifications, and webhook integrations. With Graphlit's workflow-as-code methodology, you can systematically outline every phase of the content workflow. This includes everything from data ingestion to metadata indexing and data preparation, as well as from data sanitization to entity extraction and data enrichment. Ultimately, it facilitates seamless integration with your applications through event-driven webhooks and API connections, making the entire process more efficient and user-friendly. This flexibility ensures that developers can tailor workflows to meet specific needs without unnecessary complexity.

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

Amazon EC2
Codestral Mamba
Google
Google Drive
Jira
Julia
Jupyter Notebook
Llama 3
Llama 3.1
Llama 3.2
Mistral Large
Mixtral 8x7B
Node.js
OpenAI
PHP
Perl
Platypus
PopSQL
Postico
Twitch

Integrations

Amazon EC2
Codestral Mamba
Google
Google Drive
Jira
Julia
Jupyter Notebook
Llama 3
Llama 3.1
Llama 3.2
Mistral Large
Mixtral 8x7B
Node.js
OpenAI
PHP
Perl
Platypus
PopSQL
Postico
Twitch

Pricing Details

$49 per month
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

Graphlit

Country

United States

Website

www.graphlit.com

Vendor Details

Company Name

PostgresML

Website

postgresml.org

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