Pgai Vectorizer Meets Python: Integrating SQLAlchemy and Alembic
You can now seamlessly integrate pgai Vectorizer and Python using SQLAlchemy and Alembic to automate embedding creation and management. Learn how.
By Hervé Ishimwe
February 20th, 2025
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You can now seamlessly integrate pgai Vectorizer and Python using SQLAlchemy and Alembic to automate embedding creation and management. Learn how.
By Hervé Ishimwe
February 20th, 2025
Picking the best open-source AI model is easy with Ollama and pgai. Learn how to do it and see how to implement a RAG system with Microsoft’s Phi-4.
By Hervé Ishimwe
January 24th, 2025
Looking for the best open-source embedding model for your RAG application? We share a simple comparison workflow so you can stop paying the OpenAI tax.
By Hervé Ishimwe
December 19th, 2024
Read how you can implement hybrid search in PostgreSQL by combining semantic and full-text search using Cohere, pgvector, and pgai.
By Team Tiger Data
November 15th, 2024
Data parsing doesn’t have to be complicated. Learn how to use the PostgreSQL extension pgai and Unstructured.io to supercharge your document analysis.
By Jônatas Davi Paganini
November 13th, 2024
Follow this step-by-step guide to learn how to create a reverse video search system with Mixpeek and PostgreSQL's AI extensions: pgvector and pgvectorscale.
By Haziqa Sajid
November 8th, 2024
Build RAG systems with ease and efficiency. Learn how to create vector embeddings and automate embedding management with a single SQL query using pgai Vectorizer.
By Hervé Ishimwe
October 29th, 2024
Worried about sharing private information with LLMs? See how to build a fully local RAG application using PostgreSQL, Mistral, and Ollama.
By Haziqa Sajid
August 27th, 2024
Vector databases add organizational intelligence to AI. Learn how to use PostgreSQL as a vector database for retrieval-augmented generation with pgvector.
By Avthar Sewrathan
June 21st, 2023
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