Registry › Compare › FAISS vs LightRAG

FAISS vs LightRAG

LightRAG leads on trust: 81.4/100 (Grade A) against 75.6/100 (Grade B), a 5.8-point gap. FAISS leads on maintenance and adoption; LightRAG leads on supply-chain integrity and provenance.

B FAISS 75.6

A library for efficient similarity search and clustering of dense vectors.

facebookresearch/faiss · #247 overall · #12 Memory & Knowledge · coverage A (4/5)

Choose FAISS if maintenance and adoption matter most.

+3.6Maintenance: last push 1d ago, against 5d ago
+2.6Adoption: 2.9M weekly downloads against 35.6k
+0.5Transparency: OSSF Scorecard 6.1 against 5.5

A LightRAG 81.4

[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation

HKUDS/LightRAG · #144 overall · #11 Memory & Knowledge · coverage A (4/5)

Choose LightRAG if supply-chain integrity and provenance matter most.

+9.4Safety / Integrity: 53% of recent commits signed, against 0%
+7.2Identity / Provenance: package provenance attested, against none

Where they differ

7.6

Safety / IntegrityLightRAG +9.4

17.0

10.8

Identity / ProvenanceLightRAG +7.2

18.0

13.7

TransparencyFAISS +0.5

13.2

19.8

MaintenanceFAISS +3.6

16.2

19.7

AdoptionFAISS +2.6

17.1

+4.0

Runtime calibrationFAISS +4.1

-0.1

Full evidence table

An independent, evidence-based trust comparison of FAISS and LightRAG, two Memory & Knowledge projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.

Full evidence

Signal	FAISSfacebookresearch/faiss	LightRAGHKUDS/LightRAG
HVTrust score	75.6	81.4
Evidence grade	B	A
Coverage grade	A	A
Overall rank	#247	#144
Rank in Memory & Knowledge	#12	#11
GitHub stars	41.3k	40.5k
Last updated	1d ago	5d ago
Build provenance	No	Yes
OSSF Scorecard	6.1 / 10	5.5 / 10
License	MIT	MIT
Downloads	2.9M/wk	36k/wk
Trust dimensions (points earned)
Safety / integrity / 25	7.6	17.0
Identity & provenance / 18	10.8	18.0
Transparency / 17	13.7	13.2
Maintenance / 20	19.8	16.2
Adoption / 20	19.7	17.1
Runtime capability surface (full matrix)
MCP server	—	—
External providers	—	6 — Anthropic, Google Gemini, OpenAI, …
Requires API keys	No	Yes
Plugin surface	—	—
Provenance drift	Match	Match

Open in the live compare tool → FAISS profile LightRAG profile More Memory & Knowledge →

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →