Pg_vectorize
DatabasesWhat is Pg_vectorize?
It is a Postgres extension that automates the transformation and orchestration of text to embeddings and provides hooks into the most popular LLMs. This allows you to do vector search and build LLM applications on existing data with as little as two function calls.
Pg_vectorize is a tool in the Databases category of a tech stack.
Key Features
Workflows for both vector search and RAGIntegrations with OpenAI's embeddingsAutomated creation of Postgres triggers to keep your embeddings up to date
Pg_vectorize Pros & Cons
Pros of Pg_vectorize
No pros listed yet.
Cons of Pg_vectorize
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Pg_vectorize Alternatives & Comparisons
What are some alternatives to Pg_vectorize?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
