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Docs update (#1875)

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Prateek Chhikara
2024-09-17 10:53:14 -07:00
committed by GitHub
parent 55c54beeab
commit 8c3c9e1520
5 changed files with 33 additions and 16 deletions
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docs/open-source/graph_memory/overview.mdx
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@@ -3,11 +3,11 @@ title: Overview
description: 'Enhance your memory system with graph-based knowledge representation and retrieval'
---
Mem0 now supports **Graph Memory**.
Mem0 now supports **Graph Memory**.
With Graph Memory, users can now create and utilize complex relationships between pieces of information, allowing for more nuanced and context-aware responses.
This integration enables users to leverage the strengths of both vector-based and graph-based approaches, resulting in more accurate and comprehensive information retrieval and generation.
Try Graph Memory on Google Colab.
Try Graph Memory on Google Colab.
<a target="_blank" href="https://colab.research.google.com/drive/1PfIGVHnliIlG2v8cx0g45TF0US-jRPZ1?usp=sharing">
<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
</a>
@@ -27,7 +27,10 @@ allowfullscreen
To initialize Graph Memory you'll need to set up your configuration with graph store providers.
Currently, we support Neo4j as a graph store provider. You can setup [Neo4j](https://neo4j.com/) locally or use the hosted [Neo4j AuraDB](https://neo4j.com/product/auradb/).
Moreover, you also need to set the version to `v1.1` (*prior versions are not supported*).
Moreover, you also need to set the version to `v1.1` (*prior versions are not supported*).
<Note>If you are using Neo4j locally, then you need to install [APOC plugins](https://neo4j.com/labs/apoc/4.1/installation/).</Note>
User can also customize the LLM for Graph Memory from the [Supported LLM list](https://docs.mem0.ai/components/llms/overview) with three levels of configuration: