Evaluate Hybrid Search for Legal QA with Qdrant & BM25/mxbai
Evaluates hybrid search (BM25 + mxbai embeddings + RRF) on LegalQAEval dataset using Qdrant, calculating hits@1 accuracy for top retrievals.
This n8n workflow is the second part of a hybrid search series for Legal AI, focusing on evaluation after indexing (Part 1). It performs hybrid retrieval on a Qdrant collection using questions from the LegalQAEval dataset. Hybrid search combines BM25 keyword matching, mxbai-embed-large-v1 semantic embeddings, and Reciprocal Rank Fusion (RRF) for optimal ranking. Embeddings are generated via Qdrant Cloud Inference or external providers like OpenAI.
On a subset of questions, it retrieves top text
- Platform
- n8n
- Category
- Business Operations & ERPs
- Price
- $24.99
- Creator
- Pierre Farouk
- Qdrant
- Hybrid Search
- Legal AI
- BM25
- mxbai
- RAG
- Semantic Search
- Evaluation
- RRF
- Text Analytics
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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