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427 lines
15 KiB
Markdown
427 lines
15 KiB
Markdown
---
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title: Configuration
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weight: 160
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aliases:
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- ../configuration
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- /guides/configuration/
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---
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# Configuration
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To change or correct Qdrant's behavior, default collection settings, and network interface parameters, you can use configuration files.
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The default configuration file is located at [config/config.yaml](https://github.com/qdrant/qdrant/blob/master/config/config.yaml).
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To change the default configuration, add a new configuration file and specify
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the path with `--config-path path/to/custom_config.yaml`. If running in
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production mode, you could also choose to overwrite `config/production.yaml`.
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See [ordering](#order-and-priority) for details on how configurations are
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loaded.
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The [Installation](/documentation/guides/installation/) guide contains examples of how to set up Qdrant with a custom configuration for the different deployment methods.
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## Order and priority
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*Effective as of v1.2.1*
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Multiple configurations may be loaded on startup. All of them are merged into a
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single effective configuration that is used by Qdrant.
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Configurations are loaded in the following order, if present:
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1. Embedded base configuration ([source](https://github.com/qdrant/qdrant/blob/master/config/config.yaml))
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2. File `config/config.yaml`
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3. File `config/{RUN_MODE}.yaml` (such as `config/production.yaml`)
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4. File `config/local.yaml`
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5. Config provided with `--config-path PATH` (if set)
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6. [Environment variables](#environment-variables)
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This list is from least to most significant. Properties in later configurations
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will overwrite those loaded before it. For example, a property set with
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`--config-path` will overwrite those in other files.
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Most of these files are included by default in the Docker container. But it is
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likely that they are absent on your local machine if you run the `qdrant` binary
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manually.
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If file 2 or 3 are not found, a warning is shown on startup.
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If file 5 is provided but not found, an error is shown on startup.
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Other supported configuration file formats and extensions include: `.toml`, `.json`, `.ini`.
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## Environment variables
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It is possible to set configuration properties using environment variables.
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Environment variables are always the most significant and cannot be overwritten
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(see [ordering](#order-and-priority)).
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All environment variables are prefixed with `QDRANT__` and are separated with
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`__`.
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These variables:
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```bash
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QDRANT__LOG_LEVEL=INFO
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QDRANT__SERVICE__HTTP_PORT=6333
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QDRANT__SERVICE__ENABLE_TLS=1
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QDRANT__TLS__CERT=./tls/cert.pem
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QDRANT__TLS__CERT_TTL=3600
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```
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result in this configuration:
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```yaml
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log_level: INFO
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service:
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http_port: 6333
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enable_tls: true
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tls:
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cert: ./tls/cert.pem
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cert_ttl: 3600
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```
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To run Qdrant locally with a different HTTP port you could use:
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```bash
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QDRANT__SERVICE__HTTP_PORT=1234 ./qdrant
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```
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## Configuration file example
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```yaml
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log_level: INFO
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# Logging configuration
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# Qdrant logs to stdout. You may configure to also write logs to a file on disk.
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# Be aware that this file may grow indefinitely.
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# logger:
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# on_disk:
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# enabled: true
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# log_file: path/to/log/file.log
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# log_level: INFO
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storage:
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# Where to store all the data
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storage_path: ./storage
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# Where to store snapshots
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snapshots_path: ./snapshots
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snapshots_config:
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# "local" or "s3" - where to store snapshots
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snapshots_storage: local
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# s3_config:
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# bucket: ""
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# region: ""
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# access_key: ""
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# secret_key: ""
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# endpoint_url: ""
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# Where to store temporary files
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# If null, temporary snapshot are stored in: storage/snapshots_temp/
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temp_path: null
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# If true - point's payload will not be stored in memory.
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# It will be read from the disk every time it is requested.
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# This setting saves RAM by (slightly) increasing the response time.
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# Note: those payload values that are involved in filtering and are indexed - remain in RAM.
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on_disk_payload: true
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# Maximum number of concurrent updates to shard replicas
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# If `null` - maximum concurrency is used.
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update_concurrency: null
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# Write-ahead-log related configuration
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wal:
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# Size of a single WAL segment
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wal_capacity_mb: 32
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# Number of WAL segments to create ahead of actual data requirement
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wal_segments_ahead: 0
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# Normal node - receives all updates and answers all queries
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node_type: "Normal"
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# Listener node - receives all updates, but does not answer search/read queries
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# Useful for setting up a dedicated backup node
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# node_type: "Listener"
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performance:
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# Number of parallel threads used for search operations. If 0 - auto selection.
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max_search_threads: 0
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# Max number of threads (jobs) for running optimizations across all collections, each thread runs one job.
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# If 0 - have no limit and choose dynamically to saturate CPU.
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# Note: each optimization job will also use `max_indexing_threads` threads by itself for index building.
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max_optimization_threads: 0
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# CPU budget, how many CPUs (threads) to allocate for an optimization job.
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# If 0 - auto selection, keep 1 or more CPUs unallocated depending on CPU size
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# If negative - subtract this number of CPUs from the available CPUs.
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# If positive - use this exact number of CPUs.
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optimizer_cpu_budget: 0
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# Prevent DDoS of too many concurrent updates in distributed mode.
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# One external update usually triggers multiple internal updates, which breaks internal
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# timings. For example, the health check timing and consensus timing.
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# If null - auto selection.
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update_rate_limit: null
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# Limit for number of incoming automatic shard transfers per collection on this node, does not affect user-requested transfers.
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# The same value should be used on all nodes in a cluster.
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# Default is to allow 1 transfer.
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# If null - allow unlimited transfers.
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#incoming_shard_transfers_limit: 1
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# Limit for number of outgoing automatic shard transfers per collection on this node, does not affect user-requested transfers.
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# The same value should be used on all nodes in a cluster.
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# Default is to allow 1 transfer.
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# If null - allow unlimited transfers.
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#outgoing_shard_transfers_limit: 1
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# Enable async scorer which uses io_uring when rescoring.
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# Only supported on Linux, must be enabled in your kernel.
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# See: <https://qdrant.tech/articles/io_uring/#and-what-about-qdrant>
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#async_scorer: false
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optimizers:
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# The minimal fraction of deleted vectors in a segment, required to perform segment optimization
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deleted_threshold: 0.2
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# The minimal number of vectors in a segment, required to perform segment optimization
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vacuum_min_vector_number: 1000
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# Target amount of segments optimizer will try to keep.
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# Real amount of segments may vary depending on multiple parameters:
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# - Amount of stored points
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# - Current write RPS
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#
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# It is recommended to select default number of segments as a factor of the number of search threads,
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# so that each segment would be handled evenly by one of the threads.
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# If `default_segment_number = 0`, will be automatically selected by the number of available CPUs
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default_segment_number: 0
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# Do not create segments larger this size (in KiloBytes).
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# Large segments might require disproportionately long indexation times,
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# therefore it makes sense to limit the size of segments.
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#
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# If indexation speed have more priority for your - make this parameter lower.
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# If search speed is more important - make this parameter higher.
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# Note: 1Kb = 1 vector of size 256
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# If not set, will be automatically selected considering the number of available CPUs.
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max_segment_size_kb: null
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# Maximum size (in KiloBytes) of vectors to store in-memory per segment.
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# Segments larger than this threshold will be stored as read-only memmaped file.
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# To enable memmap storage, lower the threshold
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# Note: 1Kb = 1 vector of size 256
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# To explicitly disable mmap optimization, set to `0`.
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# If not set, will be disabled by default.
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memmap_threshold_kb: null
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# Maximum size (in KiloBytes) of vectors allowed for plain index.
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# Default value based on https://github.com/google-research/google-research/blob/master/scann/docs/algorithms.md
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# Note: 1Kb = 1 vector of size 256
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# To explicitly disable vector indexing, set to `0`.
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# If not set, the default value will be used.
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indexing_threshold_kb: 20000
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# Interval between forced flushes.
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flush_interval_sec: 5
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# Max number of threads (jobs) for running optimizations per shard.
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# Note: each optimization job will also use `max_indexing_threads` threads by itself for index building.
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# If null - have no limit and choose dynamically to saturate CPU.
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# If 0 - no optimization threads, optimizations will be disabled.
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max_optimization_threads: null
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# This section has the same options as 'optimizers' above. All values specified here will overwrite the collections
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# optimizers configs regardless of the config above and the options specified at collection creation.
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#optimizers_overwrite:
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# deleted_threshold: 0.2
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# vacuum_min_vector_number: 1000
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# default_segment_number: 0
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# max_segment_size_kb: null
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# memmap_threshold_kb: null
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# indexing_threshold_kb: 20000
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# flush_interval_sec: 5
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# max_optimization_threads: null
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# Default parameters of HNSW Index. Could be overridden for each collection or named vector individually
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hnsw_index:
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# Number of edges per node in the index graph. Larger the value - more accurate the search, more space required.
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m: 16
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# Number of neighbours to consider during the index building. Larger the value - more accurate the search, more time required to build index.
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ef_construct: 100
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# Minimal size (in KiloBytes) of vectors for additional payload-based indexing.
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# If payload chunk is smaller than `full_scan_threshold_kb` additional indexing won't be used -
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# in this case full-scan search should be preferred by query planner and additional indexing is not required.
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# Note: 1Kb = 1 vector of size 256
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full_scan_threshold_kb: 10000
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# Number of parallel threads used for background index building.
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# If 0 - automatically select.
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# Best to keep between 8 and 16 to prevent likelihood of building broken/inefficient HNSW graphs.
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# On small CPUs, less threads are used.
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max_indexing_threads: 0
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# Store HNSW index on disk. If set to false, index will be stored in RAM. Default: false
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on_disk: false
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# Custom M param for hnsw graph built for payload index. If not set, default M will be used.
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payload_m: null
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# Default shard transfer method to use if none is defined.
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# If null - don't have a shard transfer preference, choose automatically.
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# If stream_records, snapshot or wal_delta - prefer this specific method.
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# More info: https://qdrant.tech/documentation/guides/distributed_deployment/#shard-transfer-method
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shard_transfer_method: null
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# Default parameters for collections
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collection:
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# Number of replicas of each shard that network tries to maintain
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replication_factor: 1
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# How many replicas should apply the operation for us to consider it successful
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write_consistency_factor: 1
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# Default parameters for vectors.
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vectors:
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# Whether vectors should be stored in memory or on disk.
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on_disk: null
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# shard_number_per_node: 1
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# Default quantization configuration.
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# More info: https://qdrant.tech/documentation/guides/quantization
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quantization: null
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service:
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# Maximum size of POST data in a single request in megabytes
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max_request_size_mb: 32
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# Number of parallel workers used for serving the api. If 0 - equal to the number of available cores.
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# If missing - Same as storage.max_search_threads
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max_workers: 0
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# Host to bind the service on
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host: 0.0.0.0
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# HTTP(S) port to bind the service on
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http_port: 6333
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# gRPC port to bind the service on.
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# If `null` - gRPC is disabled. Default: null
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# Comment to disable gRPC:
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grpc_port: 6334
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# Enable CORS headers in REST API.
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# If enabled, browsers would be allowed to query REST endpoints regardless of query origin.
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# More info: https://developer.mozilla.org/en-US/docs/Web/HTTP/CORS
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# Default: true
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enable_cors: true
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# Enable HTTPS for the REST and gRPC API
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enable_tls: false
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# Check user HTTPS client certificate against CA file specified in tls config
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verify_https_client_certificate: false
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# Set an api-key.
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# If set, all requests must include a header with the api-key.
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# example header: `api-key: <API-KEY>`
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#
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# If you enable this you should also enable TLS.
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# (Either above or via an external service like nginx.)
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# Sending an api-key over an unencrypted channel is insecure.
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#
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# Uncomment to enable.
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# api_key: your_secret_api_key_here
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# Set an api-key for read-only operations.
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# If set, all requests must include a header with the api-key.
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# example header: `api-key: <API-KEY>`
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#
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# If you enable this you should also enable TLS.
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# (Either above or via an external service like nginx.)
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# Sending an api-key over an unencrypted channel is insecure.
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#
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# Uncomment to enable.
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# read_only_api_key: your_secret_read_only_api_key_here
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# Uncomment to enable JWT Role Based Access Control (RBAC).
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# If enabled, you can generate JWT tokens with fine-grained rules for access control.
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# Use generated token instead of API key.
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#
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# jwt_rbac: true
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cluster:
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# Use `enabled: true` to run Qdrant in distributed deployment mode
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enabled: false
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# Configuration of the inter-cluster communication
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p2p:
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# Port for internal communication between peers
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port: 6335
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# Use TLS for communication between peers
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enable_tls: false
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# Configuration related to distributed consensus algorithm
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consensus:
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# How frequently peers should ping each other.
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# Setting this parameter to lower value will allow consensus
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# to detect disconnected nodes earlier, but too frequent
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# tick period may create significant network and CPU overhead.
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# We encourage you NOT to change this parameter unless you know what you are doing.
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tick_period_ms: 100
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# Set to true to prevent service from sending usage statistics to the developers.
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# Read more: https://qdrant.tech/documentation/guides/telemetry
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telemetry_disabled: false
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# TLS configuration.
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# Required if either service.enable_tls or cluster.p2p.enable_tls is true.
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tls:
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# Server certificate chain file
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cert: ./tls/cert.pem
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# Server private key file
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key: ./tls/key.pem
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# Certificate authority certificate file.
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# This certificate will be used to validate the certificates
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# presented by other nodes during inter-cluster communication.
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#
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# If verify_https_client_certificate is true, it will verify
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# HTTPS client certificate
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#
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# Required if cluster.p2p.enable_tls is true.
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ca_cert: ./tls/cacert.pem
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# TTL in seconds to reload certificate from disk, useful for certificate rotations.
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# Only works for HTTPS endpoints. Does not support gRPC (and intra-cluster communication).
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# If `null` - TTL is disabled.
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cert_ttl: 3600
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```
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## Validation
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*Available since v1.1.1*
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The configuration is validated on startup. If a configuration is loaded but
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validation fails, a warning is logged. E.g.:
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```text
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WARN Settings configuration file has validation errors:
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WARN - storage.optimizers.memmap_threshold: value 123 invalid, must be 1000 or larger
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WARN - storage.hnsw_index.m: value 1 invalid, must be from 4 to 10000
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```
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The server will continue to operate. Any validation errors should be fixed as
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soon as possible though to prevent problematic behavior.
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