Igor Lins e Silva
dfb22f5345
- 22 content pages across Guide, Concepts, and Reference sections - Custom indigo/cyan theme with Lucide icons and Mermaid diagrams - GitHub Actions workflow for GitHub Pages deployment - Live preview: https://mempalace-docs.netlify.app/
96 lines
3.4 KiB
Markdown
96 lines
3.4 KiB
Markdown
# Benchmarks
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Curated summary of MemPalace benchmark results. For the full 725-line progression with every experiment, see [`benchmarks/BENCHMARKS.md`](https://github.com/milla-jovovich/mempalace/blob/main/benchmarks/BENCHMARKS.md) in the repository.
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## The Core Finding
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MemPalace's benchmarked raw baseline stores the source text and searches it with ChromaDB's default embeddings. No extraction layer or summarization step is required for that baseline.
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**And it scores 96.6% on LongMemEval.**
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## LongMemEval Results
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| Mode | R@5 | LLM Required | Cost/query |
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|------|-----|-------------|------------|
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| Raw ChromaDB | **96.6%** | None | $0 |
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| Hybrid v3 + rerank | 99.4% | Haiku | ~$0.001 |
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| Palace + rerank | 99.4% | Haiku | ~$0.001 |
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| **Hybrid v4 + rerank** | **100%** | Haiku | ~$0.001 |
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The 96.6% raw score requires no API key, no cloud, and no LLM at any stage. The 100% result uses optional Haiku reranking.
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### Per-Category Breakdown (Raw, 96.6%)
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| Question Type | R@5 | Count |
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|---------------|-----|-------|
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| Knowledge update | 99.0% | 78 |
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| Multi-session | 98.5% | 133 |
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| Temporal reasoning | 96.2% | 133 |
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| Single-session user | 95.7% | 70 |
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| Single-session preference | 93.3% | 30 |
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| Single-session assistant | 92.9% | 56 |
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### Held-Out Validation
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**98.4% R@5** on 450 questions that hybrid_v4 was never tuned on — confirming the improvements generalize.
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## Comparison vs Published Systems
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| System | LongMemEval R@5 | API Required | Cost |
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|--------|----------------|--------------|------|
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| **MemPalace (hybrid)** | **100%** | Optional | Free |
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| Supermemory ASMR | ~99% | Yes | — |
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| **MemPalace (raw)** | **96.6%** | **None** | **Free** |
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| Mastra | 94.87% | Yes | API costs |
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| Hindsight | 91.4% | Yes | API costs |
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| Mem0 | ~85% | Yes | $19–249/mo |
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## Other Benchmarks
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### ConvoMem (Salesforce, 75K+ QA pairs)
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| System | Score |
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|--------|-------|
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| **MemPalace** | **92.9%** |
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| Gemini (long context) | 70–82% |
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| Block extraction | 57–71% |
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| Mem0 (RAG) | 30–45% |
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On this benchmark, MemPalace materially outperforms the Mem0 result cited in the comparison table.
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### LoCoMo (1,986 multi-hop QA pairs)
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| Mode | R@10 | LLM |
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|------|------|-----|
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| Hybrid v5 + Sonnet rerank (top-50) | **100%** | Sonnet |
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| bge-large + Haiku rerank (top-15) | 96.3% | Haiku |
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| Hybrid v5 (top-10, no rerank) | **88.9%** | None |
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| Session, no rerank (top-10) | 60.3% | None |
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### MemBench (ACL 2025, 8,500 items)
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**80.3% R@5** overall. Strongest categories: aggregative (99.3%), comparative (98.4%), lowlevel_rec (99.8%).
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## Reproducing Results
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All benchmarks are reproducible with public datasets:
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```bash
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git clone https://github.com/milla-jovovich/mempalace.git
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cd mempalace
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pip install chromadb pyyaml
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# Download LongMemEval data
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curl -fsSL -o /tmp/longmemeval_s_cleaned.json \
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https://huggingface.co/datasets/xiaowu0162/longmemeval-cleaned/resolve/main/longmemeval_s_cleaned.json
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# Run raw baseline (96.6%, no API key needed)
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python benchmarks/longmemeval_bench.py /tmp/longmemeval_s_cleaned.json
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```
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::: tip
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Results are deterministic. Same data + same script = same result every time. Every result JSONL file contains every question, every retrieved document, every score.
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:::
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For complete reproduction instructions, benchmark integrity notes, and the full score progression, see the [full benchmark documentation](https://github.com/milla-jovovich/mempalace/blob/main/benchmarks/BENCHMARKS.md).
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