pith:SN4BMBEM
NaviRAG: Towards Active Knowledge Navigation for Retrieval-Augmented Generation
NaviRAG replaces flat segment retrieval in RAG with an LLM agent that actively navigates a document hierarchy from coarse topics to fine details.
arxiv:2604.12766 v2 · 2026-04-14 · cs.CL
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\pithnumber{SN4BMBEM3RH3Q2JOZGVN4BFW4X}
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Record completeness
Claims
Extensive experiments on long-document QA benchmarks show that NaviRAG consistently improves both retrieval recall and end-to-end answer performance over conventional RAG baselines.
That automatically structuring documents into a hierarchy will preserve accurate semantic relationships across granularity levels and that an LLM agent can reliably identify information gaps and select the appropriate retrieval level without introducing new errors.
NaviRAG improves RAG performance on long-document QA by structuring knowledge hierarchically and deploying an LLM agent for iterative, multi-granularity retrieval.
Receipt and verification
| First computed | 2026-05-20T00:03:11.331070Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
937816048cdc4fb8692ec9aade04b6e5f582f410cabde5de54fab3c79bbdd1ef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SN4BMBEM3RH3Q2JOZGVN4BFW4X \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 937816048cdc4fb8692ec9aade04b6e5f582f410cabde5de54fab3c79bbdd1ef
Canonical record JSON
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