DocAILab HyDE Rewriter Component
Provide the rewriter capability for an Agentic RAG slot.
Interface
Input RewriteRequest:
query: original user query- optional
temperature: generation temperature, default0.0 - optional
max_tokens: maximum hypothetical-document tokens, default8192
Output RewriteResult:
rewritten_query: exactly one hypothetical answer-like document used as the retrieval query
Execution
Run scripts/component.py:run(inputs, context).
Implement the single-sample HyDE variant (N=1). Call the frozen Executor Model supplied through context.call_model() exactly once and generate one concise hypothetical document. Do not generate multiple hypotheses or perform embedding aggregation in this Component.
Use the generated text only as the input to a semantic Vector Retriever. Keep the original query for reranking and final answer generation.
The hypothetical document may contain false details. Never add it to the retrieved evidence, never return it as a real document, and never use it directly as the final answer.
Prefer this Component when the original query is short, abstract, or phrased differently from the corpus. Do not select it as the default preprocessing step for exact keyword, identifier, or entity-name retrieval.