Knowledge API: New Parameters

New search_type field with options:

• vector_search: Semantic similarity search
• keyword_search: Exact text matching
• hybrid_search: Combined approach (default)
• Separated Top-K Controls:
  • top_k: Controls initial document retrieval (1-100)
  • rerank_config.top_k: Controls final result count after reranking (1-100)
• New agentic_rag_config parameter to customize AI-driven search behavior per request

Benefits

• Flexible Search Strategy: Choose optimal search method per query
• Fine-tuned Relevance: Retrieve broadly, return precisely with independent top-k settings
• Performance Optimization: Better control over retrieval vs. quality trade-offs

Impact

• Users can now choose specific search strategies instead of relying on knowledge base defaults
• Better control over the retrieval-rerank pipeline allows for more relevant results by retrieving more documents initially but returning fewer, higher-quality results

You can find more info here https://docs.orq.ai/reference/searchknowledge#/