introduce
Embeddings are generated by artificial intelligence models (such as huge language models), and since they contain a large number of attributes or features, managing their representation can be difficult. In the context of artificial intelligence and machine learning, these features represent many elements of data, all of which are necessary to understand patterns, correlations, and underlying structure.
Therefore, we need a specialized database developed specifically for managing such information. Vector databases such as Chroma-DB meet this need because they provide optimized embedded storage and query capabilities. Vector databases have characteristics of typical databases that stand-alone vector indexes do not. Furthermore, vector databases have specialized capabilities to handle vector embeddings, which are not available in traditional scalar-based databases.
PostgreSQL is a powerful object-relational database system available under an open source license. It has been actively developed for over 35 years, which has helped it build a strong reputation for reliability, robustness and performance.
The good news is that Postre-SQL supports vectors in addition to external extensions.
This article will describe the above in further detail. Azure and AWS provide an easy way to enable this extension.
what is extension
PostgreSQL ships with modules and extensions developed by various contributors. The PostgreSQL community is responsible for the maintenance of these components. By creating extensions, we can take advantage of these modules and the functionality they provide in PostgreSQL. PostgreSQL extends the ability to bundle many SQL objects into a single package that can be loaded or recalled from the database. This package can also be modified. Once the extension is loaded into the database, it can perform the same operations as the built-in functions.
PG vector
pgvector is an open source vector similarity extension. It helps to:
Search for exact and approximate nearest neighbors, L2 distance, inner product distance, and co-