Our three-way retrieval system combines semantic understanding, contextual awareness, and keyword precision via Reciprocal Rank Fusion for comprehensive results.
BGE-M3 embeddings capture semantic meaning, finding conceptually similar content even without keyword overlap.
Contextual term weighting identifies important phrases and their relationships for precise matching.
Classic term frequency analysis ensures exact matches and specific terminology are never missed.
One API call gives you access to our full hybrid retrieval pipeline. Configure retrieval methods, enable reranking, and get cited results.
// Search with hybrid retrieval
const results = await lakehouse.search({
query: "Q4 revenue drivers",
options: {
retrieval: "hybrid", // dense + sparse + bm25
rerank: true, // cross-encoder reranking
limit: 10,
}
});
// Results include relevance scores and citations
results.forEach(doc => {
console.log(doc.title, doc.score, doc.citations);
});Start your free trial and see the difference hybrid search makes.