MongoDb - Agno

Parameter	Type	Default	Description
`collection_name`	`str`	Required	Name of the MongoDB collection to store vectors and metadata
`db_url`	`Optional[str]`	`"mongodb://localhost:27017/"`	MongoDB connection string
`database`	`str`	`"ai"`	Name of the MongoDB database
`embedder`	`Optional[Embedder]`	`OpenAIEmbedder()`	Embedder instance to generate embeddings
`distance_metric`	`str`	`Distance.cosine`	Distance metric to use for similarity search
`overwrite`	`bool`	`False`	Whether to overwrite existing collection and index
`cosmos_compatibility`	`bool`	`False`	Whether to enable support for azure cosmos db mongodb vcore
`wait_until_index_ready_in_seconds`	`Optional[float]`	`None`	Time in seconds to wait until the index is ready
`wait_after_insert_in_seconds`	`Optional[float]`	`None`	Time in seconds to wait after inserting documents

Parameter	Type	Default	Description
`collection_name`	`str`	Required	Name of the MongoDB collection to store vectors and metadata
`db_url`	`Optional[str]`	`"mongodb://localhost:27017/"`	MongoDB connection string
`database`	`str`	`"ai"`	Name of the MongoDB database
`embedder`	`Optional[Embedder]`	`OpenAIEmbedder()`	Embedder instance to generate embeddings
`distance_metric`	`str`	`Distance.cosine`	Distance metric to use for similarity search
`overwrite`	`bool`	`False`	Whether to overwrite existing collection and index
`cosmos_compatibility`	`bool`	`False`	Whether to enable support for azure cosmos db mongodb vcore
`wait_until_index_ready_in_seconds`	`Optional[float]`	`None`	Time in seconds to wait until the index is ready
`wait_after_insert_in_seconds`	`Optional[float]`	`None`	Time in seconds to wait after inserting documents