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Added support for google vector search - (matching engine) (#2177)

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anchit-nishant
2025-03-05 11:45:47 +05:30
committed by GitHub
parent 7c8628eadc
commit 23dbce4f59
10 changed files with 1382 additions and 269 deletions
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11
docs/components/vectordbs/config.mdx
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@@ -8,8 +8,9 @@ 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", "azure_ai_search")
- `config`: A nested object containing provider-specific settings
- `provider`: The name of the vector database (e.g., "chroma", "pgvector", "qdrant", "milvus","azure_ai_search", "vertex_ai_vector_search")
- `config`: A nested dictionary containing provider-specific settings
## How to Use Config
@@ -86,6 +87,12 @@ Here's a comprehensive list of all parameters that can be used across different
| `url` | Full URL for the server |
| `api_key` | API key for the server |
| `on_disk` | Enable persistent storage |
| `endpoint_id` | Endpoint ID (vertex_ai_vector_search) |
| `index_id` | Index ID (vertex_ai_vector_search) |
| `deployment_index_id` | Deployment index ID (vertex_ai_vector_search) |
| `project_id` | Project ID (vertex_ai_vector_search) |
| `project_number` | Project number (vertex_ai_vector_search) |
| `vector_search_api_endpoint` | Vector search API endpoint (vertex_ai_vector_search) |
| `connection_string` | PostgreSQL connection string (for Supabase/PGVector) |
| `index_method` | Vector index method (for Supabase) |
| `index_measure` | Distance measure for similarity search (for Supabase) |