docs: fix the stale benchmark table and finish the one-liner sweep
Addresses review feedback on #6944. The Performance Improvements table in platform-v2-to-v3.mdx still read 91.6 (+20.2) / 93.4 (+25.6) while the Overview prose in the same file already read 92.5 / 94.4, so the page stated both sets of numbers. Reconciled against the research team's current figures in README.md: 71.4 -> 92.5 (+21.1) and 67.8 -> 94.4 (+26.6). Delivered the three one-liner sweep edits the PR description claimed but never shipped: the README banner alt text, the mem0-ts README title and lede, and the docs/introduction.mdx frontmatter description. The dated changelog entry at 91.6 / 93.4 stays as-is; it records what was announced on 2026-04-14.
This commit is contained in:
@@ -1,6 +1,6 @@
|
||||
---
|
||||
title: "Build AI apps that remember"
|
||||
description: "Add persistent, self-improving memory to your AI app with Mem0 Platform or self-hosted Open Source."
|
||||
description: "Give your AI agents persistent memory with Mem0 Platform or self-hosted Open Source."
|
||||
mode: "custom"
|
||||
---
|
||||
|
||||
|
||||
@@ -293,8 +293,8 @@ If your application previously read graph relations from the API response (`rela
|
||||
|
||||
| Metric | Previous Algorithm | New Algorithm |
|
||||
|---|---|---|
|
||||
| **LoCoMo Overall** | 71.4 | **91.6** (+20.2) |
|
||||
| **LongMemEval Overall** | 67.8 | **93.4** (+25.6) |
|
||||
| **LoCoMo Overall** | 71.4 | **92.5** (+21.1) |
|
||||
| **LongMemEval Overall** | 67.8 | **94.4** (+26.6) |
|
||||
| **Extraction latency (p50)** | ~2.0s | **~1.0s** |
|
||||
| **Mean tokens per query** | N/A | 6.8-7.0K (top200) |
|
||||
|
||||
|
||||
Reference in New Issue
Block a user