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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
VATES stores knowledge as plain structured text rather than as vectors.
There is no embedding pipeline, no vector database and no re-ranking stage — a query is scored against the text directly and the top matches go to the model. Nothing is precomputed, so nothing needs rebuilding when the knowledge changes; editing a line takes effect on the next request.
This removes an entire tier of infrastructure. No Pinecone, no Weaviate, no pgvector, no GPU, no per-call embedding API. Fewer moving parts, fewer failure points, lower cost. Deleted content is actually gone, verifiable by reading the file.
Deployment is an embed snippet or a direct HTTP API with idempotency keys and per-tenant rate limiting. Authentication is WebAuthn/FIDO2 passkeys, TOTP or password. Console, docs and site ship in 23 languages across 9 writing systems; replies are not restricted to that set.
Prepaid, usage-based, no seats, no subscription.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
ChatGPT
Yes
Mistral AI
Yes
Apache Superset
Yes
Claude
No
Haskell
Yes
Llama 3
Yes
Llama 3.1
Yes
Lua
Yes
Microsoft Power BI
Yes
Mixtral 8x22B
Yes
Integrations
ChatGPT
Yes
Mistral AI
Yes
Apache Superset
No
Claude
Yes
Haskell
No
Llama 3
No
Llama 3.1
No
Lua
No
Microsoft Power BI
No
Mixtral 8x22B
No
Pricing Details
$.60 per hour
Free Trial
No
Free Version
Yes
Pricing Details
$5 deposit, pay-as-you-go
Usage-based prepaid deposit. No subscription, no monthly minimum,
no cancellation fee. $5.00 minimum per top-up. Billed per request
from the balance. Current rates are listed on the pricing page.
no cancellation fee. $5.00 minimum per top-up. Billed per request
from the balance. Current rates are listed on the pricing page.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
PostgresML
Website
postgresml.org
Vendor Details
Company Name
STANDOUT Inc.
Founded
2024
Country
Japan
Website
vates.standout.jp/
