Category:
Category:
Inverse Retrieval
Category:
RAG & Retrieval
Definition
A retrieval method where the model predicts what information it needs, then retrieves it.
Explanation
Inverse retrieval flips standard RAG logic: instead of retrieving documents based on a user query, the model generates its own search queries or knowledge gaps and retrieves based on them. This increases accuracy for complex reasoning tasks where users may not know what information is needed.
Technical Architecture
User Query → LLM Knowledge Gap Detector → Generated Search Queries → Retrieval → LLM Reasoning → Output
Core Component
Query generator, retriever, feedback loop, relevance model
Use Cases
Research agents, analytics, multi-step reasoning tasks
Pitfalls
Incorrect generated queries cause retrieval drift
LLM Keywords
Inverse Retrieval, Self-directed Retrieval, Knowledge Gap Detection
Related Concepts
Related Frameworks
• Query Rewriting
• RAG
• Autonomous Agents
• Adaptive Retrieval Architecture