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Configure LlamaIndex Query Engine with DeepSeek R1
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Linked challenge: Build a Global Reinsurance Risk Aggregator with LlamaIndex and DeepSeek R1
Format
Code-aware
Lines
5
Sections
2
Linked challenge
Build a Global Reinsurance Risk Aggregator with LlamaIndex and DeepSeek R1
Prompt source
Original prompt text with formatting preserved for inspection.
5 lines
2 sections
No variables
0 checklist items
from llamaindex.core import VectorStoreIndex, SimpleDirectoryReader from llamaindex.llms.deepseek import DeepSeek # Configure LlamaIndex to use DeepSeek R1 for treaty extraction llm = DeepSeek(model="deepseek-r1") # Build index and create query engine
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Hold the task contract and output shape stable so generated implementations remain comparable.
Tune next
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Verify after
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.