Memory Management

In the Vector Memory Management interface, you can create, edit, and test your own vector memory sets. Each "Memory Set" contains embedded text data as numerical vectors, which allows for fast and precise searches based on meaning. You can create new memory sets, add memory items, and test your memory search queries. The interface also allows you to manage memory sets dedicated for production or testing purposes, ensuring efficient retrieval of stored data.

Create a memory set

In the Create New Memory Set dialog, you can create a new vector memory set by selecting an embedding provider. This determines how your text data will be converted into vectors for efficient searching. After choosing an embedding provider, you must name the memory set. Once the provider is selected, it cannot be changed later, and the size of the embedding impacts the amount of information that can be encoded. When ready, click "Create New Memory" to generate your new memory set, which will be used for storing and retrieving data based on semantic meaning.

The following embedding providers are available: - OpenAI (Small). Vector size: 1536. Max symbols in Embedded Description field: 28668. - OpenAI (Large). Vector size: 3072. Max symbols in Embedded Description field: 28868. - ThenIper GTE (Large). Vector size: 1024. Max symbols in Embedded Descripton field: 1792.

---

We’d love to hear from you! Reach out to [e-mail]