Tools•generator
Algolia for AI-Powered Search
Constructs search queries combining keyword and vector search parameters for AI-powered search systems
Try the tool
client runnerHybrid Search Configuration
Run the tool to see output.
Examples
Basic Hybrid Search
{
"keyword_query": "machine learning algorithms",
"vector_threshold": 0.7,
"use_rerank": false
}Expected output
{"keyword": "machine learning algorithms", "vector": {"threshold": 0.7}}Reranked Vector Search
{
"keyword_query": "neural network optimization",
"vector_threshold": 0.85,
"use_rerank": true
}Expected output
{"keyword": "neural network optimization", "vector": {"threshold": 0.85, "rerank": true}}How it works
Combines keyword matching with vector similarity scores by generating configuration objects that prioritize both exact term matches and semantic relevance. The vector threshold controls similarity cutoffs while reranking adds post-processing for result ordering.
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