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LlamaIndex is a data framework for your LLM applications
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[Question]: How to insert data into specific database for Milvus? #12868

Closed momocat-aric closed 3 months ago

momocat-aric commented 3 months ago

Question Validation

Question

I use llamaindex to connect the Milvus, and I specify the Milvus db-name as "New_DBName". But when insert data, I found all the data is inserted into 'default' database. Following is my connect code: vector_store = MilvusVectorStore(dim=384, db_name="New_DBName", overwrite=True)

Env: python 3.9 llamaindex 0.9.48

dosubot[bot] commented 3 months ago

It appears there's a mix-up with the parameter used to specify the database or collection name in your code. In the version of LlamaIndex you're using, the MilvusVectorStore class expects a collection_name parameter for defining where the data should be stored, not db_name. Here's how you can adjust your code to ensure data is inserted into the correct collection:

from llama_index.legacy.vector_stores.milvus import MilvusVectorStore

vector_store = MilvusVectorStore(
    dim=384,
    collection_name="New_DBName",  # Use collection_name instead of db_name
    overwrite=True
    # Include other necessary parameters like URI and token if needed
)

By specifying collection_name="New_DBName", your data will be inserted into the "New_DBName" collection. Ensure that any other required parameters, such as the Milvus instance URI and token (if using RBAC), are also correctly set in your MilvusVectorStore initialization.

This adjustment should direct your insert operations to the intended collection. If you encounter further issues or have additional questions, feel free to ask.

Sources

#### About Dosu This response is meant to be useful and save you time. It is **not meant to be a precise solution**, but rather a starting point for your own research. Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant. If you want to continue the conversation, start your reply with @dosu-bot.
momocat-aric commented 3 months ago

It appears there's a mix-up with the parameter used to specify the database or collection name in your code. In the version of LlamaIndex you're using, the MilvusVectorStore class expects a collection_name parameter for defining where the data should be stored, not db_name. Here's how you can adjust your code to ensure data is inserted into the correct collection:

from llama_index.legacy.vector_stores.milvus import MilvusVectorStore

vector_store = MilvusVectorStore(
    dim=384,
    collection_name="New_DBName",  # Use collection_name instead of db_name
    overwrite=True
    # Include other necessary parameters like URI and token if needed
)

By specifying collection_name="New_DBName", your data will be inserted into the "New_DBName" collection. Ensure that any other required parameters, such as the Milvus instance URI and token (if using RBAC), are also correctly set in your MilvusVectorStore initialization.

This adjustment should direct your insert operations to the intended collection. If you encounter further issues or have additional questions, feel free to ask.

Sources

About Dosu

not solve my problem. Milvus support user to manage different database (note: not the collection), you can pass in the db_name to connect different database using pymilvus. So I want to know, how can I access different database using llamaindex, so that I can insert different data into different database.

dosubot[bot] commented 3 months ago

To insert data into different databases using LlamaIndex with Milvus, it's important to clarify that Milvus itself does not use the concept of a database as a container for collections, unlike traditional relational databases. Instead, Milvus organizes data into collections, which are analogous to tables in SQL databases.

When working with LlamaIndex to interact with Milvus, you specify the target for data insertion through the collection_name parameter, not db_name, because each collection in Milvus is directly accessible without the need for specifying a database. Here's how you can specify the collection:

from llama_index.legacy.vector_stores.milvus import MilvusVectorStore

milvus_store = MilvusVectorStore(
    uri="http://yourmilvusinstance:19530",  # Your Milvus instance URI
    collection_name="Your_Collection_Name",  # The collection you want to insert data into
    dim=128,  # Dimension of your embeddings
    # Include any other necessary parameters
)

Replace "http://yourmilvusinstance:19530" with your Milvus instance's URI, "Your_Collection_Name" with the name of the collection you wish to use, and adjust the dim parameter to match your data's dimensions.

The db_name parameter you mentioned is not used in this context. If you're referring to a setup where you're using MongoDB as a metadata store alongside Milvus, db_name would specify the MongoDB database for metadata, not a Milvus collection.

For more detailed operations and configurations, refer to the Milvus documentation on collections and the LlamaIndex GitHub repository for specifics on using the MilvusVectorStore class.

Sources

#### About Dosu This response is meant to be useful and save you time. It is **not meant to be a precise solution**, but rather a starting point for your own research. Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant. If you want to continue the conversation, start your reply with @dosu-bot.
logan-markewich commented 3 months ago

@momocat-aric db_name is not a valid kwarg to milvus vector store. It seems like it might get passed in as part of kwargs, but I wouldn't be surprised if this wasn't supported properly

Feel free to checkout the source code https://github.com/run-llama/llama_index/blob/ce5963486d8b99fa045659dbdb7bd1398d6b7da5/llama-index-integrations/vector_stores/llama-index-vector-stores-milvus/llama_index/vector_stores/milvus/base.py#L173

momocat-aric commented 3 months ago

@momocat-aric db_name is not a valid kwarg to milvus vector store. It seems like it might get passed in as part of kwargs, but I wouldn't be surprised if this wasn't supported properly

Feel free to checkout the source code

https://github.com/run-llama/llama_index/blob/ce5963486d8b99fa045659dbdb7bd1398d6b7da5/llama-index-integrations/vector_stores/llama-index-vector-stores-milvus/llama_index/vector_stores/milvus/base.py#L173

Thanks for your reply.
Yes, I debugged the code and found the db_name actually can be passed into MilvusClient class. But it still not work, that is weird.

And I tried another way: use "/" to concat the URI and db_name, it works, like:

URI = "<URI>/<DB_NAME>"
vector_store = MilvusVectorStore(dim=N, uri=URI, overwrite=True)