> ## Documentation Index
> Fetch the complete documentation index at: https://developers.telnyx.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Embedding llms.txt

> Machine-readable documentation index for Embedding (AI) — guide pages and API endpoints for AI agents and LLMs

# Telnyx AI: Embedding — Documentation Index

> Embedding documentation within the AI section of the Telnyx developer docs ([https://developers.telnyx.com](https://developers.telnyx.com)).
> This file: [https://developers.telnyx.com/development/llms/ai-embedding-llms-txt.md](https://developers.telnyx.com/development/llms/ai-embedding-llms-txt.md) · Root index: [https://developers.telnyx.com/llms.txt](https://developers.telnyx.com/llms.txt)

## Embedding

* [Overview](https://developers.telnyx.com/docs/inference/embedding-rag.md): Build retrieval, semantic search, and conversation memory with Telnyx.
* [Pricing](https://developers.telnyx.com/docs/inference/embedding-rag/pricing.md): Pricing for Search and Embedding & RAG features.

## Bucket

* [Embeddings](https://developers.telnyx.com/docs/inference/embeddings.md): Generate vector embeddings with the Telnyx Inference API for semantic search, clustering, and RAG. Supports multiple embedding models and batch requests.
* [Clusters](https://developers.telnyx.com/docs/inference/clusters.md): Group similar documents and discover themes in your data with Telnyx Inference clusters. Run unsupervised clustering on embeddings to surface insights.

## API Reference (Embedding)

### OpenAI Embeddings

* [Create embeddings](https://developers.telnyx.com/api-reference/openai-embeddings/create-embeddings.md): Creates an embedding vector representing the input text. This endpoint is compatible with the OpenAI Embeddings API and may be used with the OpenAI JS or Pytho…
* [List embedding models](https://developers.telnyx.com/api-reference/openai-embeddings/list-embedding-models.md): Returns a list of available embedding models. This endpoint is compatible with the OpenAI Models API format.

### Embeddings

* [Get Tasks by Status](https://developers.telnyx.com/api-reference/embeddings/get-tasks-by-status.md): Retrieve tasks for the user that are either `queued`, `processing`, `failed`, `success` or `partial_success` based on the query string. Defaults to `queued` an…
* [Embed documents](https://developers.telnyx.com/api-reference/embeddings/embed-documents.md): Perform embedding on a Telnyx Storage Bucket using the a embedding model.
* [List embedded buckets](https://developers.telnyx.com/api-reference/embeddings/list-embedded-buckets.md): Get all embedding buckets for a user.
* [Disable AI for an Embedded Bucket](https://developers.telnyx.com/api-reference/embeddings/disable-ai-for-an-embedded-bucket.md): Deletes an entire bucket's embeddings and disables the bucket for AI-use, returning it to normal storage pricing.
* [Get file-level embedding statuses for a bucket](https://developers.telnyx.com/api-reference/embeddings/get-file-level-embedding-statuses-for-a-bucket.md): Get all embedded files for a given user bucket, including their processing status.
* [Search for documents](https://developers.telnyx.com/api-reference/embeddings/search-for-documents.md): Perform a similarity search on a Telnyx Storage Bucket, returning the most similar `num_docs` document chunks to the query.
* [Embed URL content](https://developers.telnyx.com/api-reference/embeddings/embed-url-content.md): Embed website content from a specified URL, including child pages up to 5 levels deep within the same domain. The process crawls and loads content from the mai…
* [Get an embedding task's status](https://developers.telnyx.com/api-reference/embeddings/get-an-embedding-tasks-status.md): Check the status of a current embedding task. Will be one of the following:

### Clusters

* [List all clusters](https://developers.telnyx.com/api-reference/clusters/list-all-clusters.md): Retrieve a paginated list of clustering tasks and their statuses.
* [Compute new clusters](https://developers.telnyx.com/api-reference/clusters/compute-new-clusters.md): Starts a background task to compute how the data in an embedded storage bucket is clustered. This helps identify common themes and patterns in the data.
* [Delete a cluster](https://developers.telnyx.com/api-reference/clusters/delete-a-cluster.md): Delete a clustering task and its computed results.
* [Fetch a cluster](https://developers.telnyx.com/api-reference/clusters/fetch-a-cluster.md): Fetch the results of a clustering task, including the discovered clusters.
* [Fetch a cluster visualization](https://developers.telnyx.com/api-reference/clusters/fetch-a-cluster-visualization.md): Fetch a visualization image of the clusters computed by a clustering task.

### Conversation Histories

* [Search conversation histories](https://developers.telnyx.com/api-reference/conversation-histories/search-conversation-histories.md): Performs semantic vector search across conversation history records.