landing_page/qdrant-landing/content/documentation/guides/configuration.md

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Configuration	160

Configuration

To change or correct Qdrant's behavior, default collection settings, and network interface parameters, you can use the configuration file.

Default configuration file is located in config/config.yaml.

In the production environment, you can override any value of this file by providing new values in /qdrant/config/production.yaml inside the docker.

Here is an example of how you can pass custom configuration inside the docker container:

docker run -p 6333:6333 \
    -v $(pwd)/path/to/custom_config.yaml:/qdrant/config/production.yaml \
    qdrant/qdrant

Configuration file example

debug: false
log_level: INFO

storage:
  # Where to store all the data
  storage_path: ./storage

  # Where to store snapshots
  snapshots_path: ./snapshots

  # If true - point's payload will not be stored in memory.
  # It will be read from the disk every time it is requested.
  # This setting saves RAM by (slightly) increasing the response time.
  # Note: those payload values that are involved in filtering and are indexed - remain in RAM.
  on_disk_payload: true

  # Write-ahead-log related configuration
  wal:
    # Size of a single WAL segment
    wal_capacity_mb: 32

    # Number of WAL segments to create ahead of actual data requirement
    wal_segments_ahead: 0

  # Normal node - receives all updates and answers all queries
  node_type: "Normal"

  # Listener node - receives all updates, but does not answer search/read queries
  # Useful for setting up a dedicated backup node
  # node_type: "Listener"

  performance:
    # Number of parallel threads used for search operations. If 0 - auto selection.
    max_search_threads: 0
    # Max total number of threads, which can be used for running optimization processes across all collections.
    # Note: Each optimization thread will also use `max_indexing_threads` for index building.
    # So total number of threads used for optimization will be `max_optimization_threads * max_indexing_threads`
    max_optimization_threads: 1

  optimizers:
    # The minimal fraction of deleted vectors in a segment, required to perform segment optimization
    deleted_threshold: 0.2

    # The minimal number of vectors in a segment, required to perform segment optimization
    vacuum_min_vector_number: 1000

    # Target amount of segments optimizer will try to keep.
    # Real amount of segments may vary depending on multiple parameters:
    #  - Amount of stored points
    #  - Current write RPS
    #
    # It is recommended to select default number of segments as a factor of the number of search threads,
    # so that each segment would be handled evenly by one of the threads.
    # If `default_segment_number = 0`, will be automatically selected by the number of available CPUs
    default_segment_number: 0

    # Do not create segments larger this size (in KiloBytes).
    # Large segments might require disproportionately long indexation times,
    # therefore it makes sense to limit the size of segments.
    #
    # If indexation speed have more priority for your - make this parameter lower.
    # If search speed is more important - make this parameter higher.
    # Note: 1Kb = 1 vector of size 256
    # If not set, will be automatically selected considering the number of available CPUs.
    max_segment_size_kb: null

    # Maximum size (in kilobytes) of vectors to store in-memory per segment.
    # Segments larger than this threshold will be stored as read-only memmaped file.
    # Memmap storage is disabled by default, to enable it, set this threshold to a reasonable value.
    # To explicitly disable mmap optimization, set to `0`.
    # Note: 1Kb = 1 vector of size 256
    memmap_threshold_kb: null

    # Maximum size (in kilobytes) of vectors allowed for plain index, exceeding this threshold will enable vector indexing
    # Default value is 20,000, based on <https://github.com/google-research/google-research/blob/master/scann/docs/algorithms.md>.
    # To explicitly disable vector indexing, set to `0`.
    # Note: 1kB = 1 vector of size 256.
    indexing_threshold_kb: 20000

    # Interval between forced flushes.
    flush_interval_sec: 5

    # Max number of threads, which can be used for optimization per collection.
    # Note: Each optimization thread will also use `max_indexing_threads` for index building.
    # So total number of threads used for optimization will be `max_optimization_threads * max_indexing_threads`
    # If `max_optimization_threads = 0`, optimization will be disabled.
    max_optimization_threads: 1

  # Default parameters of HNSW Index. Could be overridden for each collection or named vector individually
  hnsw_index:
    # Number of edges per node in the index graph. Larger the value - more accurate the search, more space required.
    m: 16
    # Number of neighbours to consider during the index building. Larger the value - more accurate the search, more time required to build index.
    ef_construct: 100
    # Minimal size (in KiloBytes) of vectors for additional payload-based indexing.
    # If payload chunk is smaller than `full_scan_threshold_kb` additional indexing won't be used -
    # in this case full-scan search should be preferred by query planner and additional indexing is not required.
    # Note: 1Kb = 1 vector of size 256
    full_scan_threshold_kb: 10000
    # Number of parallel threads used for background index building. If 0 - auto selection.
    max_indexing_threads: 0
    # Store HNSW index on disk. If set to false, index will be stored in RAM. Default: false
    on_disk: false
    # Custom M param for hnsw graph built for payload index. If not set, default M will be used.
    payload_m: null

service:

  # Maximum size of POST data in a single request in megabytes
  max_request_size_mb: 32

  # Number of parallel workers used for serving the api. If 0 - equal to the number of available cores.
  # If missing - Same as storage.max_search_threads
  max_workers: 0

  # Host to bind the service on
  host: 0.0.0.0

  # HTTP(S) port to bind the service on
  http_port: 6333

  # gRPC port to bind the service on.
  # If `null` - gRPC is disabled. Default: null
  grpc_port: 6334
  # Uncomment to enable gRPC:
  # grpc_port: 6334

  # Enable CORS headers in REST API.
  # If enabled, browsers would be allowed to query REST endpoints regardless of query origin.
  # More info: https://developer.mozilla.org/en-US/docs/Web/HTTP/CORS
  # Default: true
  enable_cors: true

  # Enable HTTPS for the REST and gRPC API
  enable_tls: false

  # Check user HTTPS client certificate against CA file specified in tls config
  verify_https_client_certificate: false

  # Set an api-key.
  # If set, all requests must include a header with the api-key.
  # example header: `api-key: <API-KEY>`
  #
  # If you enable this you should also enable TLS.
  # (Either above or via an external service like nginx.)
  # Sending an api-key over an unencrypted channel is insecure.
  #
  # Uncomment to enable.
  # api_key: your_secret_api_key_here

cluster:
  # Use `enabled: true` to run Qdrant in distributed deployment mode
  enabled: false

  # Configuration of the inter-cluster communication
  p2p:
    # Port for internal communication between peers
    port: 6335

    # Use TLS for communication between peers
    enable_tls: false

  # Configuration related to distributed consensus algorithm
  consensus:
    # How frequently peers should ping each other.
    # Setting this parameter to lower value will allow consensus
    # to detect disconnected nodes earlier, but too frequent
    # tick period may create significant network and CPU overhead.
    # We encourage you NOT to change this parameter unless you know what you are doing.
    tick_period_ms: 100


# Set to true to prevent service from sending usage statistics to the developers.
# Read more: https://qdrant.tech/documentation/telemetry
telemetry_disabled: false


# TLS configuration.
# Required if either service.enable_tls or cluster.p2p.enable_tls is true.
tls:
  # Server certificate chain file
  cert: ./tls/cert.pem

  # Server private key file
  key: ./tls/key.pem

  # Certificate authority certificate file.
  # This certificate will be used to validate the certificates
  # presented by other nodes during inter-cluster communication.
  #
  # If verify_https_client_certificate is true, it will verify
  # HTTPS client certificate
  #
  # Required if cluster.p2p.enable_tls is true.
  ca_cert: ./tls/cacert.pem

  # TTL in seconds to reload certificate from disk, useful for certificate rotations.
  # Only works for HTTPS endpoints. Does not support gRPC (and intra-cluster communication).
  cert_ttl: 3600

Validation

Available as of v1.1.1

The configuration is validated on startup. If a configuration is loaded but validation fails, a warning is logged. E.g.:

WARN Settings configuration file has validation errors:
WARN - storage.optimizers.memmap_threshold: value 123 invalid, must be 1000 or larger
WARN - storage.hnsw_index.m: value 1 invalid, must be from 4 to 10000

The server will continue to operate. Any validation errors should be fixed as soon as possible though to prevent problematic behavior.