Documentation Index
Fetch the complete documentation index at: https://docs.mem0.ai/llms.txt
Use this file to discover all available pages before exploring further.
Qdrant is an open-source vector search engine. It is designed to work with large-scale datasets and provides a high-performance search engine for vector data.
Usage
import os
from mem0 import Memory
os.environ["OPENAI_API_KEY"] = "sk-xx"
config = {
"vector_store": {
"provider": "qdrant",
"config": {
"collection_name": "test",
"host": "localhost",
"port": 6333,
}
}
}
m = Memory.from_config(config)
messages = [
{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
{"role": "assistant", "content": "How about 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"})
Config
Let’s see the available parameters for the qdrant config:
| Parameter | Description | Default Value |
|---|
collection_name | The name of the collection to store the vectors | mem0 |
embedding_model_dims | Dimensions of the embedding model | 1536 |
client | Custom client for qdrant | None |
host | The host where the qdrant server is running | None |
port | The port where the qdrant server is running | None |
path | Path for the qdrant database | /tmp/qdrant |
url | Full URL for the qdrant server | None |
api_key | API key for the qdrant server | None |
on_disk | For enabling persistent storage | False |
| Parameter | Description | Default Value |
|---|
collectionName | The name of the collection to store the vectors | mem0 |
embeddingModelDims | Dimensions of the embedding model | 1536 |
host | The host where the Qdrant server is running | None |
port | The port where the Qdrant server is running | None |
path | Path for the Qdrant database | /tmp/qdrant |
url | Full URL for the Qdrant server | None |
apiKey | API key for the Qdrant server | None |
onDisk | For enabling persistent storage | False |