# Voyage AI Documentation ## Guides - [Snowflake](https://docs.voyageai.com/docs/snowflake.md) - [Contextualized Chunk Embeddings](https://docs.voyageai.com/docs/contextualized-chunk-embeddings.md) - [Text Embeddings](https://docs.voyageai.com/docs/embeddings.md) - [Multimodal Embeddings](https://docs.voyageai.com/docs/multimodal-embeddings.md) - [Rerankers](https://docs.voyageai.com/docs/reranker.md) - [Community SDKs](https://docs.voyageai.com/docs/community-sdks.md) - [Integrations](https://docs.voyageai.com/docs/integrations-and-other-libraries.md) - [MongoDB Voyage AI Models in AWS](https://docs.voyageai.com/docs/aws-marketplace-mongodb-voyage.md): Deploy MongoDB Voyage AI models using AWS Marketplace - [Voyage AI Models in AWS](https://docs.voyageai.com/docs/aws-marketplace-voyage.md): Deploy Voyage AI models using AWS Marketplace - [MongoDB Voyage AI Models in Azure](https://docs.voyageai.com/docs/azure-marketplace-mongodb-voyage.md): Deploy MongoDB Voyage AI models using Azure Marketplace - [Voyage AI Models in Azure](https://docs.voyageai.com/docs/azure-marketplace-voyage.md): Deploy Voyage AI models using Azure Marketplace - [API Key and Python Client](https://docs.voyageai.com/docs/api-key-and-installation.md) - [Introduction](https://docs.voyageai.com/docs/introduction.md) - [Quickstart Tutorial](https://docs.voyageai.com/docs/quickstart-tutorial.md) - [Batch Inference](https://docs.voyageai.com/docs/batch-inference.md) - [Error Codes](https://docs.voyageai.com/docs/error-codes.md) - [Flexible Dimensions and Quantization](https://docs.voyageai.com/docs/flexible-dimensions-and-quantization.md) - [Organizations and Projects](https://docs.voyageai.com/docs/organizations-and-projects.md) - [Pricing](https://docs.voyageai.com/docs/pricing.md) - [Rate Limits](https://docs.voyageai.com/docs/rate-limits.md) - [Service Level Objectives](https://docs.voyageai.com/docs/service-level-objectives.md) - [Tokenization](https://docs.voyageai.com/docs/tokenization.md) - [Contact Email](https://docs.voyageai.com/docs/contact-email.md) - [Discord](https://docs.voyageai.com/docs/discord.md) - [FAQ](https://docs.voyageai.com/docs/faq.md) ## API Reference - [Contextualized chunk embedding models](https://docs.voyageai.com/reference/contextualized-embeddings-api-1.md): The Voyage contextualized chunk embedding endpoint accepts document chunks—in addition to queries and full documents—and returns a response containing contextualized chunk vector embeddings. These contextualized chunk embeddings capture not only the local details within each chunk but also global, coarse-grained metadata from the entire document. - [Text embedding models](https://docs.voyageai.com/reference/embeddings-api-1.md): The Voyage text embedding endpoint receives as input a string (or a list of strings) and other arguments such as the preferred model name, and returns a response containing a list of embeddings. - [Multimodal embedding models](https://docs.voyageai.com/reference/multimodal-embeddings-api-1.md): The Voyage multimodal embedding endpoint returns vector representations for a given list of multimodal inputs consisting of text, images, or an interleaving of both modalities.
Important: Starting December 8, 2025, the following constraints apply to all URL parameters (e.g., image_url)
- [Rerankers](https://docs.voyageai.com/reference/reranker-api-1.md): Voyage reranker endpoint receives as input a query, a list of documents, and other arguments such as the model name, and returns a response containing the reranking results. - [Cancel batch](https://docs.voyageai.com/reference/cancel-batch.md): Cancels a batch that is currently in progress. You can only cancel batches that are in `validating` or `in_progress` status. The batch status will change to `cancelling` for up to 10 minutes before transitioning to `cancelled`. At that point, partial results (if any) will be available in the output file, and any unfinished requests will be listed in the errors file. - [Create batch](https://docs.voyageai.com/reference/create-batch.md): Creates and executes a batch. - [List batches](https://docs.voyageai.com/reference/list-batches.md): List organization batches. - [Retrieve batch](https://docs.voyageai.com/reference/retrieve-batch.md): Returns a batch. - [Bulk delete files](https://docs.voyageai.com/reference/bulk-delete-files.md): Delete one or more files at once. - [Delete file](https://docs.voyageai.com/reference/delete-file.md): Delete a file. - [List files](https://docs.voyageai.com/reference/list-files.md): Returns a list of files that can be optionally limited to a set of results (e.g., `limit`, `after`), ordered (e.g., `order`), and filtered (e.g., `purpose`). - [Retrieve file content](https://docs.voyageai.com/reference/retrieve-file-content.md): Returns the contents of the specified file. - [Retrieve file](https://docs.voyageai.com/reference/retrieve-file.md): Returns information about a specific file. - [Upload file](https://docs.voyageai.com/reference/upload-file.md): Upload a file that can be used with the Batch API. The Batch API only supports `.jsonl` files with a specific required format. - [Contextualized chunk embedding models](https://docs.voyageai.com/reference/contextualized-embeddings-api.md): The Voyage contextualized chunk embedding endpoint accepts document chunks—in addition to queries and full documents—and returns a response containing contextualized chunk vector embeddings. These contextualized chunk embeddings capture not only the local details within each chunk but also global, coarse-grained metadata from the entire document. - [Text embedding models](https://docs.voyageai.com/reference/embeddings-api.md): The Voyage text embedding endpoint receives as input a string (or a list of strings) and other arguments such as the preferred model name, and returns a response containing a list of embeddings. - [Multimodal embedding models](https://docs.voyageai.com/reference/multimodal-embeddings-api.md): The Voyage multimodal embedding endpoint returns vector representations for a given list of multimodal inputs consisting of text, images, or an interleaving of both modalities.
Important: Starting December 8, 2025, the following constraints apply to all URL parameters (e.g., image_url)
- [Rerankers](https://docs.voyageai.com/reference/reranker-api.md): Voyage reranker endpoint receives as input a query, a list of documents, and other arguments such as the model name, and returns a response containing the reranking results.