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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.
Description
Create your RAG system using a more straightforward approach than options such as LangChain, enabling you to select from an extensive array of hosted and remote services for vector databases, datasets, Large Language Models (LLMs), and application integrations. Leverage SciPhi to implement version control for your system through Git and deploy it from any location. SciPhi's platform is utilized internally to efficiently manage and deploy a semantic search engine that encompasses over 1 billion embedded passages. The SciPhi team will support you in the embedding and indexing process of your initial dataset within a vector database. After this, the vector database will seamlessly integrate into your SciPhi workspace alongside your chosen LLM provider, ensuring a smooth operational flow. This comprehensive setup allows for enhanced performance and flexibility in handling complex data queries.
API Access
Has API
API Access
Has API
Integrations
Codestral
Codestral Mamba
DBeaver
Elixir
Falcon
Le Chat
Llama 3
Llama 3.1
Ministral 3B
Ministral 8B
Integrations
Codestral
Codestral Mamba
DBeaver
Elixir
Falcon
Le Chat
Llama 3
Llama 3.1
Ministral 3B
Ministral 8B
Pricing Details
$.60 per hour
Free Trial
Free Version
Pricing Details
$249 per month
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
PostgresML
Website
postgresml.org
Vendor Details
Company Name
SciPhi
Website
www.sciphi.ai/