Overview
Qdrant is a vector similarity search engine and database. It supports embedded, local, and cloud deployments with HNSW and FLAT indexes, plus advanced features like quantization and payload indexing. Provider Class:QdrantProviderConfig Class:
QdrantConfig
Install
Install the Qdrant optional dependency group:
uv pip install "upsonic[qdrant]"
Examples
from upsonic import Agent, Task, KnowledgeBase
from upsonic.embeddings import OpenAIEmbedding, OpenAIEmbeddingConfig
from upsonic.vectordb import QdrantProvider, QdrantConfig, ConnectionConfig, Mode, HNSWIndexConfig
# Setup embedding provider
embedding = OpenAIEmbedding(OpenAIEmbeddingConfig())
# Embedded mode
config = QdrantConfig(
collection_name="my_collection",
vector_size=1536,
connection=ConnectionConfig(mode=Mode.EMBEDDED, db_path="./qdrant_db"),
index=HNSWIndexConfig(m=16, ef_construction=200),
on_disk_payload=False
)
vectordb = QdrantProvider(config)
# Create knowledge base
kb = KnowledgeBase(
sources="document.pdf",
embedding_provider=embedding,
vectordb=vectordb
)
# Use with Agent
agent = Agent("anthropic/claude-sonnet-4-5")
task = Task(
description="Find relevant information",
context=[kb]
)
result = agent.do(task)
Parameters
Base Parameters (from BaseVectorDBConfig)
| Parameter | Type | Description | Default | Required |
|---|---|---|---|---|
collection_name | str | Name of the collection | "default_collection" | No |
vector_size | int | Dimension of vectors | - | Yes |
distance_metric | DistanceMetric | Similarity metric (COSINE, EUCLIDEAN, DOT_PRODUCT) | COSINE | No |
recreate_if_exists | bool | Recreate collection if it exists | False | No |
default_top_k | int | Default number of results | 10 | No |
default_similarity_threshold | Optional[float] | Minimum similarity score (0.0-1.0) | None | No |
dense_search_enabled | bool | Enable dense vector search | True | No |
full_text_search_enabled | bool | Enable full-text search | True | No |
hybrid_search_enabled | bool | Enable hybrid search | True | No |
default_hybrid_alpha | float | Default alpha for hybrid search (0.0-1.0) | 0.5 | No |
default_fusion_method | Literal['rrf', 'weighted'] | Default fusion method for hybrid search | 'weighted' | No |
provider_name | Optional[str] | Provider name | None | No |
provider_description | Optional[str] | Provider description | None | No |
provider_id | Optional[str] | Provider ID | None | No |
default_metadata | Optional[Dict[str, Any]] | Default metadata for all records | None | No |
indexed_fields | Optional[List[Union[str, Dict[str, Any]]]] | Fields to index for filtering | None | No |
Qdrant-Specific Parameters
| Parameter | Type | Description | Default | Required |
|---|---|---|---|---|
connection | ConnectionConfig | Connection configuration (mode, db_path, etc.) | - | Yes |
index | Union[HNSWIndexConfig, FlatIndexConfig] | Index type configuration (IVF not supported) | HNSWIndexConfig() | No |
quantization_config | Optional[Dict[str, Any]] | Quantization settings | None | No |
on_disk_payload | bool | Store payloads on disk | False | No |
write_consistency_factor | int | Write consistency factor | 1 | No |
shard_number | Optional[int] | Number of shards | None | No |
replication_factor | Optional[int] | Replication factor | None | No |
payload_field_configs | Optional[List[PayloadFieldConfig]] | Advanced payload field configurations with types | None | No |
dense_vector_name | str | Dense vector field name | "dense" | No |
sparse_vector_name | str | Sparse vector field name | "sparse" | No |
use_sparse_vectors | bool | Enable sparse vector support (requires hybrid_search_enabled=True) | False | No |
ConnectionConfig Parameters
| Parameter | Type | Description | Default | Required |
|---|---|---|---|---|
mode | Mode | Connection mode (EMBEDDED, LOCAL, CLOUD, IN_MEMORY) | - | Yes |
db_path | Optional[str] | Path for embedded/local storage | None | Required for EMBEDDED |
host | Optional[str] | Host address | None | Required for LOCAL |
port | Optional[int] | Port number | None | Required for LOCAL |
api_key | Optional[SecretStr] | API key for cloud/local | None | Required for CLOUD |
url | Optional[str] | Full connection URL | None | No |
use_tls | bool | Use TLS encryption | True | No |
grpc_port | Optional[int] | gRPC port | None | No |
prefer_grpc | bool | Prefer gRPC over HTTP | False | No |
https | Optional[bool] | Use HTTPS | None | No |
prefix | Optional[str] | URL path prefix | None | No |
timeout | Optional[float] | Request timeout in seconds | None | No |
location | Optional[str] | Special location string | None | No |