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- textembedding-gecko
textembedding-gecko
Generates embeddings from the given text that can be used for different language-related tasks
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Overview
Text embeddings are numerical representations of text data in a continuous vector space. They are used in natural language processing (NLP) and machine learning tasks to convert words, sentences, or entire documents into dense vectors, which can then be processed and analyzed using mathematical operations, capturing semantic meanings and relationships within the text.
Text embedding-gecko
The textembedding-gecko model accepts a maximum of 3,072 input tokens and outputs 768-dimensional vector embeddings.
Use cases
This representation can be used to solve common NLP tasks, such as:
- Semantic search: Search text ranked by semantic similarity.
- Recommendation: Return items with text attributes similar to the given text.
- Classification: Return the class of items whose text attributes are similar to the given text.
- Clustering: Cluster items whose text attributes are similar to the given text.
- Outlier Detection: Return items where text attributes are least related to the given text.
Disclaimer
Please be advised that this model utilizes wrapped Artificial Intelligence (AI) provided by GCP (the "Vendor"). These AI models may collect, process, and store data as part of their operations. By using our website and accessing these AI models, you hereby consent to the data practices of the Vendor. We do not have control over the data collection, processing, and storage practices of the Vendor. Therefore, we cannot be held responsible or liable for any data handling practices, data loss, or breaches that may occur. It is your responsibility to review the privacy policies and terms of service of the Vendor to understand their data practices. You can access the Vendor's privacy policy and terms of service at https://cloud.google.com/privacy.
We disclaim all liability with respect to the actions or omissions of the Vendor, and we encourage you to exercise caution and to ensure that you are comfortable with these practices before utilizing the AI models hosted on our site.
- ID
- Nametextembedding-gecko
- Model Type IDText Embedder
- DescriptionGenerates embeddings from the given text that can be used for different language-related tasks
- Last UpdatedOct 17, 2024
- PrivacyPUBLIC
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