Semantic Search Engine
Under maintenancePricing
Pay per usage
Semantic Search Engine
Under maintenanceSemantic search engine using embeddings for intelligent document retrieval and similarity search
Semantic Search Engine
Under maintenancePricing
Pay per usage
Semantic search engine using embeddings for intelligent document retrieval and similarity search
You can access the Semantic Search Engine programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
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Each can be a string or {text, id, vector} object" }, "queries": { "title": "Search Queries", "type": "array", "description": "List of search queries (required in search mode)" }, "k": { "title": "Top-K Results", "type": "integer", "description": "Number of results to return per query (max 100)" }, "bitWidth": { "title": "Compression Bit Width", "type": "integer", "description": "2 = 16x compression, 4 = 8x compression. 4 is more accurate." }, "embeddingMode": { "title": "Embedding Mode", "type": "string", "description": "auto = try local first, local = sentence-transformers, api = OpenAI, precomputed = provide vectors" }, "embeddingModel": { "title": "Embedding Model", "type": "string", "description": "Sentence-transformers model name (e.g. all-MiniLM-L6-v2, all-mpnet-base-v2)" }, "apiKey": { "title": "OpenAI API Key", "type": "string", "description": "Required for API embedding mode. Set as OPENAI_API_KEY env var instead for security." }, "indexPath": { "title": "Index File Path", "type": "string", "description": "Path to save/load the .tv index file. 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