Neural Reranking: Precision That Matters
Use state-of-the-art cross-encoder models to reorder search results by true relevance.
First Results Are Not Always Best
❌ Without Reranking:
- • Bi-encoders miss nuance
- • Relevant docs buried in results
- • LLM gets mediocre context
- • Answers are incomplete or wrong
✓ With Reranking:
- • Cross-encoder deep analysis
- • Best docs rise to the top
- • LLM gets optimal context
- • Answers are precise and complete
How Neural Reranking Works
Two-stage retrieval for the best of both worlds
Initial Retrieval
Hybrid search returns top candidates quickly using efficient sparse + dense retrieval.
Cross-Encoder Analysis
Neural model analyzes query-document pairs together for deep semantic understanding.
Relevance Scoring
Each candidate gets a precise relevance score based on the cross-encoder analysis.
Reordered Results
Documents are reordered by relevance score, pushing the best matches to the top.
Before & After Reranking
Real examples showing the improvement
"What is the refund policy for digital products?"
+47% relevanceResults include general refund policy, physical product returns, subscription cancellation...
Digital product refund policy ranked #1, with specific conditions and timeframes highlighted.
"How to set up two-factor authentication for admin accounts?"
+52% relevanceMixed results about 2FA for users, general security docs, admin panel overview...
Admin-specific 2FA setup guide ranked #1, followed by security best practices for admins.
"Integration requirements for Salesforce enterprise"
+38% relevanceGeneral Salesforce docs, SMB integration guide, API documentation...
Enterprise Salesforce integration requirements ranked #1, with SSO and compliance docs following.
Reranking Capabilities
Neural reranking is our secret weapon for accuracy
| Feature | RAG Engine | Pinecone | Cohere | Weaviate |
|---|---|---|---|---|
| Cross-encoder reranking | ✓ | ✗ | ✓ | ✗ |
| Multiple model options | ✓ | ✗ | ✓ | ✗ |
| Built-in (no API calls) | ✓ | ✗ | ✗ | ✗ |
| Custom model support | ✓ | ✗ | ✗ | ✗ |
| Configurable top-k | ✓ | ✗ | ✓ | ✗ |
Works Great With
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