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.
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