| Signal | Technique | What it captures |
|---|---|---|
| Semantic | Vector embeddings, 1536-dim | Conceptual meaning |
| Keyword | FTS5 / BM25 | Exact term matches |
| Graph context | RDF relationship filters | Structural relationships |
Reciprocal Rank Fusion
Results from each signal are merged using Reciprocal Rank Fusion (RRF), an industry-standard algorithm that produces a single unified ranking: This ensures that a result ranked highly by multiple signals surfaces to the top, while noise from any single signal is suppressed.Why not just vector search?
Vector search alone can return semantically similar but factually wrong results. By adding keyword precision and graph-aware structural filters, hybrid search dramatically improves retrieval accuracy for agentic workloads.Learn more
- Features — full retrieval pipeline breakdown
- Semantic Search guide — tuning hybrid search