Open Source Project of the Day (#116): SAG — Multi-Hop RAG Retrieval via SQL JOINs Instead of PageRank
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Introduction "Graph RAG typically pre-builds a global graph offline, then uses PageRank for query-time scoring and expansion — but PageRank has decay: the longer the chain, the lower the score. SAG uses SQL JOINs to expand at query time instead. No decay, no pre-built global graph." This is article #116 in the Open Source Project of the Day series. Today's project is SAG (Structured Agentic Graph) — Zleap-AI's open-source next-generation multi-hop RAG framework, backed by an arXiv paper…
1Key Takeaways
- Introduction "Graph RAG typically pre-builds a global graph offline, then uses PageRank for query-time scoring and expansion — but PageRank has decay: the longer the chain, the lower the score.
- SAG uses SQL JOINs to expand at query time instead.
- No decay, no pre-built global graph." This is article #116 in the Open Source Project of the Day series.
- Today's project is SAG (Structured Agentic Graph) — Zleap-AI's open-source next-generation multi-hop RAG framework, backed by an arXiv paper….
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that introduction "Graph RAG typically pre-builds a global graph offline, then uses PageRank for query-time scoring and expansion — but PageRank has decay: the longer the chain, the lower the score.
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