Perform Hybrid Search on Legal Datasets Using Qdrant and BM25/mxbai
This workflow demonstrates how to conduct a hybrid search on a legal dataset using Qdrant, combining BM25 keyword retrieval and mxbai semantic retrieval for effective legal question-answering.
The workflow is designed to evaluate the effectiveness of hybrid search techniques on a legal dataset. It utilizes Qdrant for managing collections and performing searches, leveraging both BM25 for keyword-based retrieval and mxbai for semantic search. The process includes retrieving dataset splits, filtering relevant questions, performing searches, and evaluating the results using Reciprocal Rank Fusion (RRF). The final output provides a quality estimate of the hybrid retrieval setup, which can be further refined for building a legal RAG chatbot.
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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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