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Build vector embedding and retrieval pipeline #3

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@danushri-p

Why

The RAG application requires semantic search to retrieve relevant insurance policy information. Embeddings must be generated and stored in a vector database for efficient retrieval.

Done When

  • Embeddings are generated.
  • Vector database is configured.
  • Documents are indexed.
  • Semantic similarity search returns relevant chunks.

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