.txt embeddings API
Generate vector representations of text.Use embeddings for:- **Semantic search** - find content by meaning, not just keywords- **Clustering** - group similar documents together- **Classification** - categorize text based on similarity to examples- **Recommendations** - suggest related content
.txt embeddings API is one of 6 APIs that .txt publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
Tagged areas include Embeddings. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, and an API reference.
This API exposes 1 operation across 1 path, and defines 7 schemas. It is described by OpenAPI 3.2.0, at version 1.0.0.
Requests are made against a single base URL, https://api.dottxt.ai/v1.
Metadata
The identity and technical contract details declared by the specification.
Authentication & Security 1
.txt embeddings API declares
1 security scheme
for authenticating requests.
It accepts HTTP bearer tokens (API Key) (BearerAuth).
BearerAuth— API key authentication. Include your key in the Authorization header: Authorization: Bearer YOURAPIKEY API keys can be created and managed in the dashboard.
Paths & Operations 1
Across 1 path, the API surfaces 1 operation — 1 POST. Each is listed below with its method, path, parameters, and response codes.
Generate vector representations of text. Use embeddings for: - Semantic search - find content by meaning, not just keywords - Clustering - group similar documents together - Class…
Schemas 7
The contract defines 7 schemas that model the data the API accepts and returns. The most detailed are EmbeddingRequest (5 properties), EmbeddingResponse (4 properties), OpenAIError (4 properties), EmbeddingData (3 properties). Each schema is shown below with its type and property counts.
Specification
The full machine-readable OpenAPI contract behind this narrative.
Source
More from .txt 5
Other APIs .txt publishes across the network.
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