Neptune analytics

Neptune Analytics Vector Store

Neptune Analytics is a memory-optimized graph database engine for analytics. With Neptune Analytics, you can get insights and find trends by processing large amounts of graph data in seconds, including vector search.

Installation

pip install mem0ai[vector_stores]

Usage

config = {
    "vector_store": {
        "provider": "neptune",
        "config": {
            "collection_name": "mem0",
            "endpoint": f"neptune-graph://my-graph-identifier",
        },
    },
}

m = Memory.from_config(config)
messages = [
    {"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
    {"role": "assistant", "content": "How about a thriller movies? They can be quite engaging."},
    {"role": "user", "content": "I'm not a big fan of thriller movies but I love sci-fi movies."},
    {"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
]
m.add(messages, user_id="alice", metadata={"category": "movies"})

Parameters

Let’s see the available parameters for the neptune config:

Parameter	Description	Default Value
collection_name	The name of the collection to store the vectors	mem0
endpoint	Connection URL for the Neptune Analytics service	neptune-graph://my-graph-identifier