Keyword-Based Document Scoring and Vector Search with Qdrant and OpenAI Embeddings
This workflow automates the process of scoring documents by performing vector searches using Qdrant with keywords as queries. It extracts embeddings via OpenAI, splits text for effective embedding, manages documents (PDF or text), and calculates average scores to identify the most relevant documents for a given keyword.
Workflow Visualization
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