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Fix: add insert mode MongoDB (#7394)

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* add dropdown inser mode, create method __insert_mode

* fix unit_test mongodb

* add info to index_name

* to overwrite, delete_many from collection

* create verify_search_index

* fix SIMILARITY_OPTIONS

* fix documentation components-vector-stores.md
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Gustavo Costa 2025-04-03 16:03:17 -03:00 • committed by GitHub
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docs/docs/Components/components-vector-stores.md
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@ -430,16 +430,22 @@ For more information, see the [MongoDB Atlas documentation](https://www.mongodb.
### Inputs
| Name | Type | Description |
| ------------------------ | ------------ | ----------------------------------------- |
| mongodb_atlas_cluster_uri | SecretString | MongoDB Atlas Cluster URI |
| db_name | String | Database name |
| collection_name | String | Collection name |
| index_name | String | Index name |
| search_query | String | Query for similarity search |
| ingest_data | Data | Data to be ingested into the vector store |
| embedding | Embeddings | Embedding function to use |
| number_of_results | Integer | Number of results to return in search |
| Name | Type | Description |
| ------------------------- | ------------ | ----------------------------------------- |
| mongodb_atlas_cluster_uri | SecretString | The connection URI for your MongoDB Atlas cluster (required) |
| enable_mtls | Boolean | Enable mutual TLS authentication (default: false) |
| mongodb_atlas_client_cert | SecretString | Client certificate combined with private key for mTLS authentication (required if mTLS is enabled) |
| db_name | String | The name of the database to use (required) |
| collection_name | String | The name of the collection to use (required) |
| index_name | String | The name of the Atlas Search index, it should be a Vector Search (required) |
| insert_mode | String | How to insert new documents into the collection (options: "append", "overwrite", default: "append") |
| embedding | Embeddings | The embedding model to use |
| number_of_results | Integer | Number of results to return in similarity search (default: 4) |
| index_field | String | The field to index (default: "embedding") |
| filter_field | String | The field to filter the index |
| number_dimensions | Integer | Embedding context length (default: 1536) |
| similarity | String | The method used to measure similarity between vectors (options: "cosine", "euclidean", "dotProduct", default: "cosine") |
| quantization | String | Quantization reduces memory costs by converting 32-bit floats to smaller data types (options: "scalar", "binary") |
### Outputs