In the news
Evidence Blindness in Direct Corpus Interaction: Persistent Navigation with AtlasNav
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- AtlasNav organizes corpora once into persistent structure, enabling AI agents to navigate search spaces efficiently rather than reconstructing them per query.
- Why it matters
- Matters for engineers building retrieval systems where agents must search large document collections under limited interaction budgets.
- Watch out
- Results shown on specific benchmarks; generalization to diverse corpus types and real-world scale constraints remains to be demonstrated.
Listen to this summary
- agent
- language model
- rag
- retrieval
- eval
The patterns behind this
- Query Transformation Retrieval
- Structure-Aware Codebase Retrieval (Repo Map)
- Tool Retrieval (Tool RAG)
Each one covers how the technique works, when it earns its cost, and where it breaks.
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