Tag: Oracle 23ai
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Sparse Vectors
An exploration of support for sparse vectors in Oracle database 23ai. In this article I review the capabilities and limitations of working with sparse vectors in SQL and PL/SQL.
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Binary Vectors: Semantic Searches
After using a variety of models to generate float32 vectors, we can convert these vectors to binary dimension formats using a macro. This allows us to explore and compare various approaches to vector…
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Binary Vectors: Quantization
A step-by-step exploration into the details of creating a scalar sql macro function to quantize binary vectors from vectors in other dimension formats.
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OML4PY 2.1 Quickstart
Quickstart guide to installing OML4PY and exporting augmented embedding models using VirtualBox appliance for 23.7.
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Vector Math: Semantic Arithmetic
An exploration of some simple examples of vector arithmetic using vector embeddings generated within the Oracle database.
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Vector Math: Basics
An exploration of the new vector arithmetic operations in Oracle 23ai Release 7. These operations currently support addition, subtraction and multiplication with vectors.
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Sparse Vector Storage: Setting Compatible Parameter on OCI Autonomous Database
You can’t always get what you want…. Sometimes new features that come with a release update require the compatible initialization parameter to be set to a specific release or greater. VirtualBox 23ai Setting…
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Incremental Rounding: Numbers
A look at using pl/sql to create user defined functions and sql macros for incremental rounding.
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WITH Function Macros
Use sql macros as functions in the WITH clause to easily prototype macros.
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Table Data Comparison: Column Differences
Using sql table macros to make finding row and column differences simple.
Recent
- Sparse Vectors
- Binary Vectors: Semantic Searches
- Binary Vectors: Quantization
- OML4PY 2.1 Quickstart
- Vector Math: Semantic Arithmetic
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