@seekdb/cohere

Cohere embedding function for SeekDB.

Cohere provides embedding models for semantic search, clustering, and recommendation. seekdb provides a CohereEmbeddingFunction wrapper (powered by LiteLLM) to generate Cohere embeddings and use them with seekdb collections.

Dependencies and authentication

CohereEmbeddingFunction calls the Cohere embedding API via LiteLLM. In practice, you typically need:

• A Cohere API key with access to the embedding models you plan to use
• Authentication is usually provided via environment variables (by default, COHERE_API_KEY). If you use a different environment variable name, set api_key_env.

Installation

npm i seekdb @seekdb/cohere

Usage

import { CohereEmbeddingFunction } from "@seekdb/cohere";

const ef = new CohereEmbeddingFunction({
  modelName: "embed-english-v3.0",
  inputType: "search_document",
});

Configuration

• apiKey: API key (optional; can be provided via env var)
• apiKeyEnvVar: API key env var name (default: "COHERE_API_KEY")
• modelName: model name (default: "embed-english-v3.0")
• inputType: "search_document" | "search_query" | "classification" | "clustering" | "image" (default: "search_document")
• truncate: "NONE" | "START" | "END" (optional)
• embeddingType: "float" | "int8" | "uint8" | "binary" | "ubinary" (optional)