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docs: new algorithm migration guides + memory evaluation (#4811)

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Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
Co-authored-by: Saket Aryan <saketaryan2002@gmail.com>
This commit is contained in:
Chaithanya Kumar
2026-04-16 17:13:13 +05:30
committed by GitHub
co-authored by kartik-mem0 Saket Aryan
parent 50db9e428d
commit 30469aec17
69 changed files with 2054 additions and 2066 deletions
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docs/open-source/overview.mdx
+4 -4
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@@ -37,12 +37,12 @@ Mem0 Open Source delivers the same adaptive memory engine as the platform, but p
<Card title="Configure Components" icon="sliders" href="/open-source/configuration">
LLM, embedder, vector store, reranker setup.
</Card>
<Card title="Graph Memory Capability" icon="network-wired" href="/open-source/features/graph-memory">
Relationship-aware recall with Neo4j, Memgraph.
</Card>
<Card title="Tune Retrieval & Rerankers" icon="sparkles" href="/open-source/features/reranker-search">
Hybrid retrieval and reranker controls.
</Card>
<Card title="Memory Evaluation" icon="chart-line" href="/core-concepts/memory-evaluation">
Benchmarks and how Mem0 is tested.
</Card>
</CardGroup>
<CardGroup cols={2}>
@@ -75,7 +75,7 @@ Mem0 Open Source delivers the same adaptive memory engine as the platform, but p
<Note>
Mem0 OSS works out of the box with sensible defaults:
- LLM: OpenAI `gpt-4.1-nano-2025-04-14` (via `OPENAI_API_KEY`)
- LLM: OpenAI `gpt-5-mini` (via `OPENAI_API_KEY`)
- Embeddings: OpenAI `text-embedding-3-small`
- Vector store: Local Qdrant instance storing data at `/tmp/qdrant`
- History store: SQLite database at `~/.mem0/history.db`