Web app
PostgresML
PostgresML is a machine learning extension for PostgreSQL that enables running embeddings, vectors, and open-source LLMs on GPU-backed Postgres. It is designed for developers who want to build RAG and ML applications using SQL or Python and JavaScript SDKs.
- Platform
- Web app
- Categories
- AI Chatbot, AI Developer Tools
- Indexed
- 2024-02-19
About PostgresML
What is PostgresML
PostgresML is a machine learning extension for PostgreSQL that brings the power of GPU-accelerated machine learning directly into your database. It allows you to run embeddings, vectors, and open-source large language models (LLMs) on GPU-backed Postgres, eliminating the need to move data between separate systems. With PostgresML, you can build retrieval-augmented generation (RAG) and machine learning applications using familiar SQL queries or through Python and JavaScript SDKs. This integration simplifies the ML workflow by keeping data and models in one place, reducing complexity and latency.
Key features
PostgresML offers a range of features designed to streamline machine learning within PostgreSQL. It supports running embeddings and vector operations directly in the database, enabling efficient similarity search and RAG pipelines. The extension also allows you to deploy open-source LLMs on GPU-backed Postgres, making it possible to generate text and perform other NLP tasks without external services. Additionally, PostgresML provides SDKs for Python and JavaScript, allowing developers to integrate ML capabilities into their applications with ease. By leveraging the power of GPUs, PostgresML accelerates model training and inference, ensuring high performance even with large datasets.
Use cases
PostgresML is ideal for a variety of use cases, particularly those involving natural language processing and machine learning. It is well-suited for building retrieval-augmented generation (RAG) applications, where you can combine vector search with LLM generation to create powerful question-answering systems. It also enables semantic search, allowing users to find relevant documents or products based on meaning rather than exact keywords. Additionally, PostgresML can be used for recommendation systems, sentiment analysis, and other ML tasks that benefit from having data and models co-located. Its support for Python and JavaScript SDKs makes it accessible to a wide range of developers.
Questions
PostgresML FAQ
- What is PostgresML?
- PostgresML is an AI tool available as a web app in the AI Chatbot, AI Developer Tools categories. PostgresML is a machine learning extension for PostgreSQL that enables running embeddings, vectors, and open-source LLMs on GPU-backed Postgres. It is designed for developers who want to build RAG and ML applications using SQL or Python and JavaScript SDKs.
- What is PostgresML used for?
- PostgresML is filed under AI Chatbot, AI Developer Tools in the AITOOLIST index. PostgresML is a machine learning extension for PostgreSQL that enables running embeddings, vectors, and open-source LLMs on GPU-backed Postgres. It is designed for developers who want to build RAG and ML applications using SQL or Python and JavaScript SDKs.
- Is PostgresML a web app, an extension or a native app?
- PostgresML is a web app.
Listed in the AITOOLIST index since 2024-02-19.