@knath2000/codebase-indexing-mcp/dist/clients/voyage-client.d.ts

MCP server for codebase indexing with Voyage AI embeddings and Qdrant vector storage

export declare class VoyageClient {
    private client;
    private baseURL;
    constructor(apiKey: string);
    /**
     * Generate embeddings for a single text or array of texts
     */
    generateEmbeddings(input: string | string[], model?: string, inputType?: 'query' | 'document'): Promise<number[][]>;
    /**
     * Generate a single embedding for a text
     */
    generateEmbedding(text: string, model?: string, inputType?: 'query' | 'document'): Promise<number[]>;
    /**
     * Generate embeddings in batches for large inputs
     */
    generateEmbeddingsBatch(texts: string[], model?: string, inputType?: 'query' | 'document', batchSize?: number): Promise<number[][]>;
    /**
     * Get embedding dimension for a model
     */
    getEmbeddingDimension(model: string): number;
    /**
     * Test the API connection
     */
    testConnection(): Promise<boolean>;
}