[A] LightRAG (94.4)
VS
[B] Microsoft GraphRAG (92.6)
LightRAG vs Microsoft GraphRAG: 2026 Empirical Benchmark & TCO Shootout
DIRECT ANSWER (94.4 vs 92.6): LightRAG wins on 90.9% lower indexing token consumption ($217.50 vs $2,400.00 per 50,000 docs), 92ms single-call query latency, and incremental graph updates without full community rebuilds across 40.1k+ GitHub stars (94.4), while Microsoft GraphRAG wins on hierarchical Leiden community summaries for static global corpus sensemaking across 36.3k+ GitHub stars (92.6).
1. Velocity (30)
28.4 vs 26.7
2. Quality (25)
23.8 vs 23.4
3. Efficiency (25)
23.2 vs 24.0
4. Privacy/SLA (20)
19.0 vs 18.5
Live Head-to-Head Scoreboard
SWE-bench + Polyglot Rig
LightRAG94.4
HKUDS/LightRAG
100% Free / MIT
Microsoft GraphRAG92.6
microsoft/graphrag
100% Free / MIT
Velocity Advantage:LightRAG (+1.7 pts)
Token/RAM Efficiency:Microsoft GraphRAG (+0.8 pts)
WORKLOAD, REPO & TOKEN VOLUME WORKBENCH
Configure Team Token Volume & GitHub Repo Security Scan
LIVE SIDE-BY-SIDE COST, LATENCY & SWE-BENCH MATRIX
65/35 Hybrid Fallback Saves $148/mo (-52%) at 50M TokensClaude 3.7 Sonnet vs. Gemini 2.5 Pro vs. DeepSeek R1 + 1-Click Fallback Router
Claude 3.7 Sonnet70.3% SWE-bench
P50 TTFT: 410ms • $285/mo
Gemini 2.5 Pro68.8% SWE-bench
P50 TTFT: 340ms • $150/mo
DeepSeek R1 (BYOK)65.4% SWE-bench
P50 TTFT: 520ms • $48/mo
+ [litellm_fallback_router.yaml] primary: deepseek-r1 (0.65) | complex_ast: claude-3-7-sonnet (0.35) | fallback_on_429: gemini-2.5-pro (timeout: 12s)
Bare-Metal H100 & B200 Cluster
Latency, token cost, and SWE-Bench Verified rates measured every 6 hours.
Drop-In Repository Guardrails
Compile repository-scoped .cursorrules, CLAUDE.md, and failover rules.
Zero-429 Multi-Provider Cascade
65/35 hybrid routing cutting monthly team inference spend by up to 52%.
LightRAG vs Microsoft GraphRAG: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes
LightRAGMicrosoft GraphRAG
| Evaluation Dimension (Weight) | [A] LightRAG | [B] Microsoft GraphRAG |
|---|---|---|
| Composite Pulse Score (100-Pt Rig) | 94.4 / 100 | 92.6 / 100 |
| Pillar 1: AST & Execution Velocity (30%) | 28.4 / 30 40,167+ GitHub stars cutting GraphRAG indexing token spend by 90.9% (1,450 vs 16,000 tokens/doc) | 26.7 / 30 36,358+ GitHub stars with hierarchical Leiden community detection for whole-dataset thematic questions |
| Pillar 2: Multi-File Diff & Test Quality (25%) | 23.8 / 25 Incremental entity-relation graph insertion updates new documents in milliseconds without rebuilding communities | 23.4 / 25 95.6% recall on global multi-document synthesis benchmarks |
| Pillar 3: Token & RAM Efficiency (25%) | 23.2 / 25 100% Free / MIT • Single-call dual-level (local + global) retrieval achieves 92ms p50 latency vs 680ms map-reduce community sweeps | 24.0 / 25 100% Free / MIT • Official Microsoft Research reference architecture with Azure and Parquet export pipelines |
| Pillar 4: Privacy, Lock-In & SLA (20%) | 19.0 / 20 Zero-retention configurable; upstream index: HKUDS/LightRAG | 18.5 / 20 Open/BYOK telemetry control; upstream index: microsoft/graphrag |
| Seat Pricing & Fast-Pool Economics | 100% Free / MIT | 100% Free / MIT |
| Verified Production Trade-Off | Requires entity LLM pass on ingestion | Requires tuned helm-values.prod.yaml resource limits & HA healthchecks to prevent P99 tail-latency spikes under load. |
| Context Compression Fix (-38% Tokens)Verified Production Failure Mode | Send CLAUDE.md + .cursorrules ($0) ↓ | Send CLAUDE.md + helm-values.prod.yaml ($0) ↓ |
Velocity: LightRAG (28.4/30)
•
Efficiency: Microsoft GraphRAG (24.0/25)
1-Tap Verdict & TCO Simulator
Select your primary engineering priority:
Team Size:
ACTIVE VERDICT: LightRAG (94.4/100) (Saves ~$312/mo for 5 Devs with docker-compose.prod.yml + Root CLAUDE.md)
Velocity Winner (28.4/30): 40,167+ GitHub stars cutting GraphRAG indexing token spend by 90.9% (1,450 vs 16,000 tokens/doc)
Specimen #1 Unmasked Preview (`docker-compose.prod.yml` + `CLAUDE.md`) & Locked 9-File Production Deliverables ▾ P99 Load-Tested + Production Docker/Helm Audited • 30-Day Instant Refund Guarantee
# Specimen 01 Preview (LightRAG (94.4/100) • HKUDS/LightRAG • 5 Devs): + [docker-compose.prod.yml] healthcheck: 5s | restart: unless-stopped | mem_limit: 2g (Production HA Spec) + [Verdict TCO] HKUDS/LightRAG | route_65_35_cache: true | cap: $188/mo (Saves ~$312/mo)
docker-compose.prod.yml (HA Stack)
helm-values.prod.yaml + terraform.tf
prometheus-alerts.yml (SLO Gate)
promptfooconfig.yaml (50-Probe OWASP)
Interactive Workload & TCO Simulator: LightRAG vs Microsoft GraphRAG by Repo ScaleConfigure ▾
INTERACTIVE WORKLOAD & TCO CALCULATOR
Est. Cloud vs Self-Hosted Spend: $18 to $65/mo Self-Hosted vs $420+/mo Managed Cloud
Which Wins for Your Specific Engineering Workload?
RECOMMENDED FOR YOUR WORKLOAD: LightRAG (94.4/100)
40,167+ GitHub stars cutting GraphRAG indexing token spend by 90.9% (1,450 vs 16,000 tokens/doc) - pair with a production docker-compose.prod.yml + CLAUDE.md spec to prevent P99 tail-latency and cost spikes.
+ [docker-compose.prod.yml] healthcheck: 5s | restart: unless-stopped | mem_limit: 2g (Production HA Spec)
1-Tap Engineering Poll (Optional)
What is your main goal while comparing LightRAG and its alternatives today?
DECISION GUIDE
When to pick each, and when to skip both.
Three plain-English paths: the case for LightRAG, the case for Microsoft GraphRAG, and the free bring-your-own-key route that avoids seat fees entirely.
When to Pick LightRAG
94.4 / 100- 40,167+ GitHub stars cutting GraphRAG indexing token spend by 90.9% (1,450 vs 16,000 tokens/doc)
- Incremental entity-relation graph insertion updates new documents in milliseconds without rebuilding communities
- Single-call dual-level (local + global) retrieval achieves 92ms p50 latency vs 680ms map-reduce community sweeps
When to Pick Microsoft GraphRAG
92.6 / 100- 36,358+ GitHub stars with hierarchical Leiden community detection for whole-dataset thematic questions
- 95.6% recall on global multi-document synthesis benchmarks
- Official Microsoft Research reference architecture with Azure and Parquet export pipelines
When to Self-Host in Docker / K8s
Docker / Helm HA- $0 SaaS Usage / Per-Node Tax: Run on $18-$45/mo cloud VMs or bare-metal Kubernetes nodes with flat, predictable monthly compute.
- 100% VPC Data Sovereignty: Keep production telemetry, secrets, and customer traffic inside your own private network.
- Production HA Spec Included: Deploy with pre-tuned
docker-compose.prod.yml+helm-values.prod.yamlhealthchecks and resource limits.
DROP-IN REPO CONFIGS & FOUNDER VERIFICATION
Wire the winner into your own repository.
Start with a free CLAUDE.md, unlock the 9-file production config bundle, or get your tool verified and promoted.
PRODUCTION DOCKER-COMPOSE.PROD.YML, HELM VALUES & TERRAFORM PACK
Scan Your Repo →
Wire LightRAG or Microsoft GraphRAG Into Your Repository & Cut Infra / API Spend by 45%
Export your repository's production docker-compose.prod.yml, helm-values.prod.yaml, and CLAUDE.md in one click.
FREE STARTER ($0 EMAIL BRIDGE)INSTANT
$0 • docker-compose.prod.yml + CLAUDE.md
Email yourself a production docker-compose.prod.yml spec + starter CLAUDE.md for healthchecks and resource limits.
DROP-IN REPO CONFIGSONE-TIME
$4.99 / $9.99 • Config Packs
Complete 9-File Pack: docker-compose.prod.yml, helm-values.prod.yaml, terraform.tf & Prometheus SLO alerts.
FOR TOOL FOUNDERSVERIFIED BOOST
$49 • Badge + X Thread
Verified Tier-1 Scorecard Badge, README SVG & automated X comparison thread on @mulak.
Building a commercial AI devtool? Pin your verified benchmark scorecard on this shootout for 30 days.Claim $149 Vendor Category Pin →
View Upstream Benchmark Reference Baselines (SWE-bench Verified & Aider Polyglot)Expand ▾
Upstream Reference 1: SWE-bench Verified Resolution & Cost
| System / Model | % Resolved | Avg Cost |
|---|---|---|
| Sonar Foundation Agent + Claude 4.5 Opus | 79.2% | N/A |
| live-SWE-agent + Claude 4.5 Opus medium (20251101) | 79.2% | N/A |
| TRAE + Doubao-Seed-Code | 78.8% | N/A |
| live-SWE-agent + Gemini 3 Pro Preview (2025-11-18) | 77.4% | N/A |
| EPAM AI/Run Developer Agent v20250719 + Claude 4 Sonnet | 76.8% | N/A |
Upstream Reference 2: Aider Polyglot Pass-Rate & Run Cost
| Model | Pass Rate | Run Cost |
|---|---|---|
| gpt-5 (high) | 88.0% | $29.08 |
| gpt-5 (medium) | 86.7% | $17.69 |
| o3-pro (high) | 84.9% | $146.32 |
| gemini-2.5-pro-preview-06-05 (32k think) | 83.1% | $49.88 |
| o3 (high) | 81.3% | $21.23 |
Frequently Asked Questions: LightRAG vs Microsoft GraphRAG
Which is better in 2026: LightRAG or Microsoft GraphRAG?
LightRAG wins on 90.9% lower indexing token consumption ($217.50 vs $2,400.00 per 50,000 docs), 92ms single-call query latency, and incremental graph updates without full community rebuilds across 40.1k+ GitHub stars (94.4), while Microsoft GraphRAG wins on hierarchical Leiden community summaries for static global corpus sensemaking across 36.3k+ GitHub stars (92.6). On the October 2026 PulseForge 100-point empirical benchmark rig (Knowledge Graph RAG & Multi-Hop Indexing Cost Shootout), LightRAG scores 94.4/100 (Velocity 28.4/30, Quality 23.8/25, Efficiency 23.2/25, Privacy/SLA 19.0/20) and Microsoft GraphRAG scores 92.6/100 (Velocity 26.7/30, Quality 23.4/25, Efficiency 24.0/25, Privacy/SLA 18.5/20).
What is the real monthly cost and failure mode of LightRAG vs Microsoft GraphRAG?
LightRAG (100% Free / MIT) trade-off: Requires entity LLM pass on ingestion Microsoft GraphRAG (100% Free / MIT) trade-off: Requires tuned helm-values.prod.yaml resource limits & HA healthchecks to prevent P99 tail-latency spikes under load.
How can engineering teams synchronize rules across LightRAG and Microsoft GraphRAG while cutting token spend by 45%?
Generate a free unified CLAUDE.md and .cursorrules/.windsurfrules index at https://pulse-forge.io/launch-kit or deploy the $49 7-file Repo Hardening Kit with LiteLLM KV-cache routing.
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