Search

    "slug": "val-vibes",
    "link": "/blog/val-vibes",
    "description": "How to build semantic search with embeddings for Val Town within Val Town itself",
    "pubDate": "Tue, 18 Jun 2024 00:00:00 GMT",
    "author": "JP Posma",

    "slug": "val-vibes",
    "link": "/blog/val-vibes",
    "description": "How to build semantic search with embeddings for Val Town within Val Town itself",
    "pubDate": "Tue, 18 Jun 2024 00:00:00 GMT",
    "author": "JP Posma",

    "slug": "val-vibes",
    "link": "/blog/val-vibes",
    "description": "How to build semantic search with embeddings for Val Town within Val Town itself",
    "pubDate": "Tue, 18 Jun 2024 00:00:00 GMT",
    "author": "JP Posma",

    "slug": "val-vibes",
    "link": "/blog/val-vibes",
    "description": "How to build semantic search with embeddings for Val Town within Val Town itself",
    "pubDate": "Tue, 18 Jun 2024 00:00:00 GMT",
    "author": "JP Posma",

 * Initialize the embedding model
 */
async function initEmbeddings(modelId = EMBEDDING_MODELS.fast) {
  if (embedder && embedder.model?.config?.name_or_path === modelId) {
    return embedder;
async function processAllFeeds() {
  await initDatabase();
  await initEmbeddings();
  let totalProcessed = 0;

    "slug": "val-vibes",
    "link": "/blog/val-vibes",
    "description": "How to build semantic search with embeddings for Val Town within Val Town itself",
    "pubDate": "Tue, 18 Jun 2024 00:00:00 GMT",
    "author": "JP Posma",

    "link": "/blog/val-vibes",
    "description":
      "How to build semantic search with embeddings for Val Town within Val Town itself",
    "pubDate": "Tue, 18 Jun 2024 00:00:00 GMT",
    "author": "JP Posma",

```
async function calculateEmbeddings(text) {
    const url = `https://yawnxyz-ai.web.val.run/generate?embed=true&value=${encodeURIComponent(text)}`;
    
        return data;
    } catch (error) {
        console.error('Error calculating embeddings:', error);
        return null;
    }

  // Embedding endpoints
  async generateEmbedding(request: EmbeddingRequest): Promise<ApiResponse<EmbeddingResponse>> {
    return this.request<EmbeddingResponse>('/embeddings/generate', {
      method: 'POST',
      body: JSON.stringify(request),
    threshold?: number;
  }): Promise<ApiResponse<any>> {
    return this.request('/embeddings/search', {
      method: 'POST',
      body: JSON.stringify(query),
  }
  async embeddingsHealthCheck(): Promise<ApiResponse<any>> {
    return this.request('/embeddings/health');
  }

const API_CACHE_PATTERNS = [
  /\/api\/health/,
  /\/api\/embeddings\/health/,
  /\/api\/chat\/health/
];