A vector database is an organized collection of vector embeddings that can be created, read, updated, and deleted at any point in time.
To use a vector database or storage system, Kernel Memory needs a connector that implements the interface IMemoryDb. Microsoft currently provides connectors for the following storage systems: Azure AI Search See AzureAISearchMemory.cs on Github Qdrant See QdrantMemory.cs on Github Postgres+pgvect...
Vector databases have gained a resurgence due to the widespread availability of pre-trained AI models. Although the concept of a vector database has been around for several decades, it is only now, in the age of large language models (LLMs), that vector databases can be used to their full...
There is no universal ‘best’ vector database—the choice depends on your needs. Evaluating scalability, functionality, performance, and compatibility with your use cases is vital.
PostgreSQL is the most loved database in the world according to the Stack Overflow 2023 Developer Survey And amidst the sea of new, niche vector databases, there is an undeniable appetite for using PostgreSQL as a vector database—look no further than the numerous tutorials, integrations, and ...
After preparing the environment, we can officially enter the magical world of vector data. Build vector data As mentioned above, the place suitable for faiss to show off is the world of vector data, so it is necessary to prepare for the construction of vector data first. As an introductory...
Vector databases do much more than just store vector embeddings: As you can imagine, retrieving data based on similarity requires a lot of comparing between objects and thus can take a long time. In contrast to other types of databases that can store vector embeddings, a vector database can ...
Integrated vector databases What is a vector database Vector database in Azure Cosmos DB NoSQL Vector database in Azure Cosmos DB for MongoDB Related concepts AI Applications Quickstart - build a RAG chatbot AI agent Real-time custom content generation ...
Once pgvector is installed, you can enable it in your Postgres database by creating the extension: postgres=#Createextension vector;CREATEEXTENSION Step 1: Create a table for documents Let’s create a simple table to store documents. Each row in this table represents a document, and we store...
MySQL’s performance, ease of use, and low cost combined with its ability to reliably scale as a business grows have made it the world’s most popular open source database. MySQL: Distinguishing It from SQL The acronym “SQL” stands for Structured Query Language, a type of programming lang...