Multiple MongoDB database connect and query for my chatbot

[PradiptaAtByteIQMind-Graph2023]

Hi! Team

I want to connect with multiple databases from mongodb for the chatbot application. how can i achieve this one?

[dosubot[bot]]

🤖

Hello @PradiptaAtByteIQMind-Graph2023! I'm Dosu, a friendly bot here to lend a hand while our human maintainers are busy. I can help you debug issues, answer questions, and guide you on contributing to our project. I'm here to make your life a little easier, so don't hesitate to reach out if you need anything. Looking forward to assisting you!

To connect to multiple MongoDB databases for your chatbot application, you can create multiple instances of the MongoDBKVStore class, each with a different db_name parameter. This parameter specifies the name of the MongoDB database to connect to.

Here is an example of how you can do this:

from llama_index.storage.kvstore.mongodb_kvstore import MongoDBKVStore

# Connect to the first MongoDB database
mongo_client1 = MongoDBKVStore.from_uri(uri="mongodb://localhost:27017", db_name="chatbot_db1")

# Connect to the second MongoDB database
mongo_client2 = MongoDBKVStore.from_uri(uri="mongodb://localhost:27017", db_name="chatbot_db2")

In this example, mongo_client1 and mongo_client2 are instances of the MongoDBKVStore class that are connected to the chatbot_db1 and chatbot_db2 databases, respectively. You can use these instances to interact with the databases.

Please note that the MongoDBKVStore class in the LlamaIndex codebase does not support connections to multiple MongoDB databases simultaneously. The class is designed to connect to a single MongoDB database at a time. This is evident from the __init__ method where a single database name (self._db_name) is specified and used to connect to the MongoDB client (self._db = self._client[self._db_name]).

If you need to connect to multiple databases, you would need to create multiple instances of the MongoDBKVStore class, each with a different database name.

You can find more details about the MongoDBKVStore class in the LlamaIndex codebase.

I hope this helps! If you have any other questions, feel free to ask.

Best,
Dosu

Sources

• llama_index/storage/kvstore/mongodb_kvstore.py

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[PradiptaAtByteIQMind-Graph2023]

Hi @dosu-bot,
How can i come-up to single query_engine from multiple database instances of mongo db?

[dosubot[bot]]

🤖

To connect to multiple MongoDB databases and create a single query engine for your chatbot application, you can create multiple instances of MongoDocumentStore with different db_name parameters. Here's an example:

# Connect to the first MongoDB database
mongo_docstore1 = MongoDocumentStore.from_uri(uri="mongodb://localhost:27017", db_name="db1")

# Connect to the second MongoDB database
mongo_docstore2 = MongoDocumentStore.from_uri(uri="mongodb://localhost:27017", db_name="db2")

In this example, mongo_docstore1 and mongo_docstore2 are instances of MongoDocumentStore connected to two different MongoDB databases (db1 and db2 respectively). You can use these instances to interact with the respective databases.

As for creating a single query engine from multiple database instances, the provided context does not cover this part. You would need to implement a mechanism to route queries to the appropriate MongoDocumentStore instance based on your application's requirements.

The MongoDocumentStore class in LlamaIndex handles connections to MongoDB databases through the MongoDBKVStore class. It does not directly manage the connections but relies on the MongoDBKVStore to do so.

There are two ways to establish a connection:

1. Using a MongoDB URI: The from_uri class method takes a MongoDB URI, and optionally a database name and a namespace, and returns a MongoDocumentStore instance. The MongoDBKVStore.from_uri method is used to create a MongoDBKVStore instance from the URI.

@classmethod
def from_uri(
    cls,
    uri: str,
    db_name: Optional[str] = None,
    namespace: Optional[str] = None,
) -> "MongoDocumentStore":
    """Load a MongoDocumentStore from a MongoDB URI."""
    mongo_kvstore = MongoDBKVStore.from_uri(uri, db_name)
    return cls(mongo_kvstore, namespace)

2. Using a host and port: The from_host_and_port class method takes a host, port, and optionally a database name and a namespace, and returns a MongoDocumentStore instance. The MongoDBKVStore.from_host_and_port method is used to create a MongoDBKVStore instance from the host and port.

@classmethod
def from_host_and_port(
    cls,
    host: str,
    port: int,
    db_name: Optional[str] = None,
    namespace: Optional[str] = None,
) -> "MongoDocumentStore":
    """Load a MongoDocumentStore from a MongoDB host and port."""
    mongo_kvstore = MongoDBKVStore.from_host_and_port(host, port, db_name)
    return cls(mongo_kvstore, namespace)

In both cases, the MongoDBKVStore instance is passed to the MongoDocumentStore constructor to create a new instance. You can find more details in the LlamaIndex repository.

Please let me know if you need further clarification or have any other questions.

Sources

• llama_index/storage/docstore/mongo_docstore.py

---

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.