import { RecordMetadata } from '@pinecone-database/pinecone';
interface VectorStoreOptions {
    indexName: string;
    namespace?: string;
}
interface ChunkMetadata extends RecordMetadata {
    text: string;
    chunkIndex: number;
    totalChunks: number;
    [key: string]: any;
}
interface QueryResult {
    text: string;
    score: number;
    metadata: ChunkMetadata;
}
export declare class VectorStore {
    private index;
    private namespace;
    constructor(options: VectorStoreOptions);
    /**
     * Convert text into embeddings using OpenAI's embedding model
     */
    private textToEmbedding;
    /**
     * Store transcript chunks in the vector database
     */
    storeTranscript(transcript: string, metadata?: Record<string, any>): Promise<void>;
    /**
     * Query the vector database to find relevant chunks
     */
    query(query: string, topK?: number): Promise<QueryResult[]>;
    /**
     * Delete all vectors in the namespace
     */
    clear(): Promise<void>;
}
export {};