PostgresML is a complete MLOps platform implemented as a PostgreSQL extension, allowing you to build and deploy machine learning models directly within your database.

What tasks can I perform with PostgresML?

You can perform a range of AI and machine learning tasks, including text generation, embedding creation, vector database operations, supervised learning, RAG, search, and chatbot development.

What models does PostgresML support?

PostgresML supports various open-source models, including Mistral, Llama, and others. It also allows you to fine-tune LLMs on your own data.

How does PostgresML simplify the AI stack?

PostgresML integrates components like vector databases, embedding models, and LLMs into a single system, reducing the complexity of managing multiple microservices.

PostgresML: MLOps platform as a PostgreSQL extension for building ML models inside the database.

Name: PostgresML
Rating: 5 (67 reviews)
Author: toolify

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Introduction:

MLOps platform as a PostgreSQL extension for building ML models inside the database.

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Nov 10 2023

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PostgresML Product Information

What is PostgresML?

PostgresML is a complete MLOps platform implemented as a PostgreSQL extension. It allows users to build fast, simple, and powerful machine learning models directly within their database. It offers GPU-powered Postgres databases for building AI applications, enabling tasks like vector embedding, real-time output generation, and more. PostgresML simplifies the AI stack by integrating various components like vector databases, embedding models, and LLMs into a single system.

How to use PostgresML?

PostgresML can be used through SQL or SDKs in JS and Python. Users can perform tasks like text generation, embedding creation, and vector database operations directly within PostgreSQL. The platform supports various open-source models and allows for fine-tuning LLMs on user data.

PostgresML's Core Features

Build and deploy ML models directly within PostgreSQL

GPU-powered Postgres databases for AI applications

Vector embedding and real-time output generation

Integration with open-source models (Mistral, Llama, etc.)

Support for SQL and SDKs in JS and Python

PostgresML's Use Cases

RAG (Retrieval Augmented Generation)

Search

Chatbot

Text Generation

Embeddings

Vector Database

Supervised Learning

FAQ from PostgresML

What is PostgresML?
What tasks can I perform with PostgresML?
What models does PostgresML support?
How does PostgresML simplify the AI stack?

PostgresML Discord

Here is the PostgresML Discord: https://discord.gg/DmyJP3qJ7U. For more Discord message, please click here(/discord/dmyjp3qj7u).
PostgresML Support Email & Customer service contact & Refund contact etc.

More Contact, visit the contact us page(https://postgresml.org/contact)
PostgresML Company

PostgresML Company name: PostgresML .

More about PostgresML, Please visit the about us page(https://postgresml.org/about).
PostgresML Login

PostgresML Login Link: https://postgresml.org/login
PostgresML Sign up

PostgresML Sign up Link: https://postgresml.org/signup
PostgresML Pricing

PostgresML Pricing Link: https://postgresml.org/pricing
PostgresML Youtube

PostgresML Youtube Link: https://www.youtube.com/@postgresml
PostgresML Linkedin

PostgresML Linkedin Link: https://www.linkedin.com/company/postgresml
PostgresML Twitter

PostgresML Twitter Link: https://twitter.com/postgresml
PostgresML Github

PostgresML Github Link: https://github.com/postgresml/postgresml

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PostgresML Reviews (0)

5 point out of 5 point

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