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Update documentation: Replace Qdrant with Supabase references

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- Updated vector store provider references throughout documentation
- Changed default vector store from Qdrant to Supabase (pgvector)
- Updated configuration examples to use Supabase connection strings
- Modified navigation structure to remove qdrant-specific references
- Updated examples in mem0-with-ollama and llama-index integration
- Corrected API reference and architecture documentation

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Docker Config Backup
2025-07-31 07:56:11 +02:00
parent 41cd78207a
commit 09451401cc
10 changed files with 39 additions and 39 deletions
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2
docs/components/vectordbs/config.mdx
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@@ -10,7 +10,7 @@ iconType: "solid"
The `config` is defined as an object with two main keys:
- `vector_store`: Specifies the vector database provider and its configuration
- `provider`: The name of the vector database (e.g., "chroma", "pgvector", "qdrant", "milvus", "upstash_vector", "azure_ai_search", "vertex_ai_vector_search")
- `provider`: The name of the vector database (e.g., "chroma", "pgvector", "supabase", "milvus", "upstash_vector", "azure_ai_search", "vertex_ai_vector_search")
- `config`: A nested dictionary containing provider-specific settings

4
docs/components/vectordbs/overview.mdx
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@@ -13,7 +13,7 @@ Mem0 includes built-in support for various popular databases. Memory can utilize
See the list of supported vector databases below.
<Note>
The following vector databases are supported in the Python implementation. The TypeScript implementation currently only supports Qdrant, Redis,Vectorize and in-memory vector database.
The following vector databases are supported in the Python implementation. The TypeScript implementation currently only supports Qdrant, Redis, Vectorize and in-memory vector database.
</Note>
<CardGroup cols={3}>
@@ -37,7 +37,7 @@ See the list of supported vector databases below.
## Usage
To utilize a vector database, you must provide a configuration to customize its usage. If no configuration is supplied, a default configuration will be applied, and `Qdrant` will be used as the vector database.
To utilize a vector database, you must provide a configuration to customize its usage. If no configuration is supplied, a default configuration will be applied, and `Supabase` (with pgvector) will be used as the vector database.
For a comprehensive list of available parameters for vector database configuration, please refer to [Config](./config).