Qdrant

Vector database. Create and manage collections, add and delete points, and run vector search, recommendation, and filtered queries.

Measured routing accuracy

83 golden cases replayed through the router over the whole index: measured over corpus ea4f12ad2948 (65 toolkits, 2283 tools indexed and 13 declared uncallable), 65 cases written by hand and 18 cases from the paraphrase pass. A case counts as top-1 when its gold tool ranked first and top-8 when it reached the slate at all.

The sweep is offline: the reranker is a deterministic identity fake that returns candidates in the order retrieval produced them, so top-1 measures retrieval order rather than a reranked slate. just eval-live measures the same cases through the live reranker.

Authentication

Connect an entity with ConnectionsService.InitiateConnection, naming this toolkit's slug. Credentials stay in the connections vault; callers hold connected-account ids only.

api_key

Submit the key with ConnectionsService rather than putting it in a request; it is sealed at rest and never returned.

Tools

65 action tools. The catalog-wide slug is qdrant.<tool>, which is what search_tools returns and call_tool takes.

qdrant.root

Returns information about the running Qdrant instance. Returns information about the running Qdrant instance like version and commit id. Calls GET /.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /.

Takes no arguments.

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "what version is this server", "build and commit of the running instance", "basic info about the service".

qdrant.get_collections_aliases

List collections aliases. Get list of all existing collections aliases. Calls GET /aliases.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /aliases.

Takes no arguments.

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "every nickname across all indexes", "which alternate names are defined", "the full alias mapping on this cluster".

qdrant.cluster_status

Read the Qdrant cluster's state: which nodes and peers are members, which one leads, and where raft consensus stands. Use for questions about node health and cluster membership. Calls GET /cluster.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /cluster.

Takes no arguments.

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "how are the nodes doing", "which peers belong to this deployment", "who leads the raft group right now".

qdrant.remove_peer

Remove peer from the cluster. Tries to remove peer from the cluster. Calls DELETE /cluster/peer/{peer_id}.

Class destructive (held by the mutation gate until the call's own arguments carry "confirm": true). No scopes beyond the connection's defaults. Calls DELETE /cluster/peer/{{params.peer_id}}.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "drop a node from the cluster", "detach a member by its id", "take a peer out of consensus".

qdrant.recover_current_peer

Tries to recover current peer Raft state. Calls POST /cluster/recover.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /cluster/recover.

Takes no arguments.

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "repair this node's raft state", "bring a peer back into consensus", "fix a member that fell out of the cluster".

qdrant.cluster_telemetry

Collect cluster telemetry data. Get telemetry data, from the point of view of the cluster. Calls GET /cluster/telemetry.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /cluster/telemetry.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "usage figures across every peer", "cluster-wide stats and counters", "how the whole deployment is performing".

qdrant.get_collections

List the collections in Qdrant: the name of every vector store and embedding index this database holds. Use when someone asks what stores or indexes exist. Calls GET /collections.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /collections.

Takes no arguments.

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "what vector stores exist here", "every index this database holds", "names of the embedding stores".

qdrant.update_aliases

Update aliases of the collections. Calls POST /collections/aliases.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/aliases.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "point a nickname at a different index", "swap which collection a name resolves to", "add or drop alternate names in one call".

qdrant.get_collection

Read one Qdrant collection's info and configuration: the vector size and distance metric of a store, its shard, replica, and payload settings, and how many records it holds. Calls GET /collections/{collection_name}.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /collections/{{params.collection_name}}.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "how is this store configured", "what vector size and metric does it use", "shard and replica settings of one store".

qdrant.create_collection

Create a Qdrant collection: a new vector store for embeddings, with the vector size, distance metric, and sharding it should use. Calls PUT /collections/{collection_name}.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls PUT /collections/{{params.collection_name}}.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "set up a new vector store", "start a fresh index for embeddings", "make somewhere to keep my vectors".

qdrant.update_collection

Update collection parameters. Update parameters of the existing collection. Calls PATCH /collections/{collection_name}.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls PATCH /collections/{{params.collection_name}}.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "change an index's optimizer and hnsw settings", "tune segment and quantization config", "alter how a vector collection is stored".

qdrant.delete_collection

Delete a Qdrant collection: drop a whole vector store, its embeddings, and its metadata, permanently and without a recycle bin. Calls DELETE /collections/{collection_name}.

Class destructive (held by the mutation gate until the call's own arguments carry "confirm": true). No scopes beyond the connection's defaults. Calls DELETE /collections/{{params.collection_name}}.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "drop a whole vector store", "throw away an index and its embeddings", "remove a store for good".

qdrant.get_collection_aliases

List a Qdrant collection's aliases: the alternative names that point at one vector store, which is how a rebuilt store takes over a name clients already query. Calls GET /collections/{collection_name}/aliases.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /collections/{{params.collection_name}}/aliases.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "what other names point at this store", "alternative names for one index", "which store does an alias resolve to".

qdrant.collection_cluster_info

Collection cluster info. Get cluster information for a collection. Calls GET /collections/{collection_name}/cluster.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /collections/{{params.collection_name}}/cluster.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "which shards of an index sit on which node", "peer placement for one vector collection", "local and remote shard layout here".

qdrant.update_collection_cluster

Update collection cluster setup. Calls POST /collections/{collection_name}/cluster.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/cluster.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "move a shard to another peer", "rebalance replicas across nodes", "change where partitions of an index live".

qdrant.collection_exists

Check whether a Qdrant collection exists: answer true or false for a vector store or index by name, without reading its configuration. Use before creating a store that may already be there. Calls GET /collections/{collection_name}/exists.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /collections/{{params.collection_name}}/exists.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "is there already a store by that name", "has this index been created yet", "check a name before setting one up".

qdrant.facet

Facet a payload key with a given filter. Count points that satisfy the given filter for each unique value of a payload key. Calls POST /collections/{collection_name}/facet.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/facet.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "count matches per distinct value", "how many points share each payload value", "group a filtered result by one key".

qdrant.create_field_index

Index one payload field of a Qdrant collection, so filters and lookups on that attribute or metadata key run fast instead of scanning. Calls PUT /collections/{collection_name}/index.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls PUT /collections/{{params.collection_name}}/index.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "make filtering on an attribute fast", "add a payload index on one field", "stop a metadata lookup from scanning".

qdrant.delete_field_index

Delete index for field in collection. Delete field index for collection. Calls DELETE /collections/{collection_name}/index/{field_name}.

Class destructive (held by the mutation gate until the call's own arguments carry "confirm": true). No scopes beyond the connection's defaults. Calls DELETE /collections/{{params.collection_name}}/index/{{params.field_name}}.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "drop a payload field index", "stop indexing one metadata key", "remove the secondary lookup on an attribute".

qdrant.get_optimizations

Get optimization progress. Get progress of ongoing and completed optimizations for a collection. Calls GET /collections/{collection_name}/optimizations.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /collections/{{params.collection_name}}/optimizations.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "how far along is indexing", "progress of segment merges for a collection", "which optimizers have finished".

qdrant.get_points

Get several Qdrant points by id: the vectors and metadata for a list of record ids in one call. Calls POST /collections/{collection_name}/points.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "fetch a batch of records by id", "read the vectors behind several ids", "pull back many rows at once".

qdrant.upsert_points

Write records into a Qdrant collection: load embeddings and their metadata into a vector store, inserting new ids and overwriting ids already there. Calls PUT /collections/{collection_name}/points.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls PUT /collections/{{params.collection_name}}/points.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "load embeddings into a store", "write vectors and their metadata", "add or overwrite rows by id".

qdrant.batch_update

Batch update points. Apply a series of update operations for points, vectors and payloads. Calls POST /collections/{collection_name}/points/batch.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/batch.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "apply several point operations in one call", "insert, delete and set payload together", "run a list of vector changes at once".

qdrant.count_points

Count the records in a Qdrant collection: how many points a vector store holds, either all of them or only those a filter selects. Calls POST /collections/{collection_name}/points/count.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/count.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "how many records does a store hold", "total rows that match a filter", "size of a vector store in records".

qdrant.delete_points

Delete records from a Qdrant collection: drop the embeddings and metadata for a list of ids, or for everything a filter selects. Calls POST /collections/{collection_name}/points/delete.

Class destructive (held by the mutation gate until the call's own arguments carry "confirm": true). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/delete.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "drop the vectors for these ids", "remove records that match a filter", "take rows out of a store".

qdrant.discover_points

Discover points. Use context and a target to find the most similar points to the target, constrained by the context. Calls POST /collections/{collection_name}/points/discover.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/discover.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "add points", "set up points", "start points".

qdrant.discover_batch_points

Discover batch points. Look for points based on target and/or positive and negative example pairs, in batch. Calls POST /collections/{collection_name}/points/discover/batch.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/discover/batch.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "run several context searches at once", "positive and negative examples in one call", "batched discovery over target pairs".

qdrant.set_payload

Set metadata on Qdrant records: attach or overwrite payload fields, tags, and attributes on the points an id list or filter selects. Calls POST /collections/{collection_name}/points/payload.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/payload.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "tag records with metadata", "attach attributes to stored rows", "write a field onto these records".

qdrant.overwrite_payload

Overwrite payload. Replace full payload of points with new one. Calls PUT /collections/{collection_name}/points/payload.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls PUT /collections/{{params.collection_name}}/points/payload.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "replace payload", "overwrite payload", "swap out payload".

qdrant.clear_payload

Clear payload. Remove all payload for specified points. Calls POST /collections/{collection_name}/points/payload/clear.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/payload/clear.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "add payload", "set up payload", "start payload".

qdrant.delete_payload

Delete payload. Delete specified key payload for points. Calls POST /collections/{collection_name}/points/payload/delete.

Class destructive (held by the mutation gate until the call's own arguments carry "confirm": true). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/payload/delete.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "get rid of payload", "take down payload", "clear out payload".

qdrant.query_points

Query a Qdrant collection: the general entry point that returns the closest matches to a vector, an id, or a set of examples, with filters, ordering, and grouping. Calls POST /collections/{collection_name}/points/query.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/query.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "closest matches for a vector", "rank a store by similarity with filters", "the general similarity query".

qdrant.query_batch_points

Query points in batch. Universally query points in batch. Calls POST /collections/{collection_name}/points/query/batch.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/query/batch.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "run several searches in one request", "many vector lookups at once", "batched queries over an index".

qdrant.query_points_groups

Query points, grouped by a given payload field. Universally query points, grouped by a given payload field. Calls POST /collections/{collection_name}/points/query/groups.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/query/groups.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "search and group hits by a payload field", "best matches per category", "top results collapsed by one key".

qdrant.recommend_points

Recommend records from a Qdrant collection: find points like the positive examples given and unlike the negative ones, which is the more-like-this suggestion path. Calls POST /collections/{collection_name}/points/recommend.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/recommend.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "more like these examples", "suggestions from good and bad examples", "records resembling the ones I picked".

qdrant.recommend_batch_points

Recommend batch points. Look for the points which are closer to stored positive examples and at the same time further to negative examples. Calls POST /collections/{collection_name}/points/recommend/batch.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/recommend/batch.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "several recommendation requests together", "many liked-and-disliked lookups at once", "batched suggestions from example ids".

qdrant.recommend_point_groups

Recommend point groups. Look for the points which are closer to stored positive examples and at the same time further to negative examples, grouped by a given payload field. Calls POST /collections/{collection_name}/points/recommend/groups.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/recommend/groups.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "suggestions grouped by a payload field", "recommendations collapsed per category", "best matches to examples, one per key".

qdrant.scroll_points

Page through a Qdrant collection: walk every record in a vector store one batch at a time, optionally filtered, with no similarity ranking involved. Calls POST /collections/{collection_name}/points/scroll.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/scroll.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "page through every record", "walk a store batch by batch", "iterate all rows with a cursor".

qdrant.search_points

Search a Qdrant collection by vector similarity: the nearest neighbours to an embedding, ranked by distance and narrowed by a metadata filter. Calls POST /collections/{collection_name}/points/search.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/search.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "nearest neighbours of an embedding", "which stored vectors are most alike", "similarity lookup with a metadata filter".

qdrant.search_batch_points

Search batch points. Retrieve by batch the closest points based on vector similarity and given filtering conditions. Calls POST /collections/{collection_name}/points/search/batch.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/search/batch.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "several nearest-neighbour queries at once", "many similarity lookups in one request", "batched vector search with filters".

qdrant.search_point_groups

Search point groups. Retrieve closest points based on vector similarity and given filtering conditions, grouped by a given payload field. Calls POST /collections/{collection_name}/points/search/groups.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/search/groups.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "nearest matches grouped by a payload field", "one best hit per category", "similarity results collapsed by key".

qdrant.search_matrix_offsets

Search points matrix distance offsets. Compute distance matrix for sampled points with an offset based output format. Calls POST /collections/{collection_name}/points/search/matrix/offsets.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/search/matrix/offsets.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "pairwise distances in offset form", "a similarity matrix over sampled points", "how close sampled records are, indexed by position".

qdrant.search_matrix_pairs

Search points matrix distance pairs. Compute distance matrix for sampled points with a pair based output format. Calls POST /collections/{collection_name}/points/search/matrix/pairs.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/search/matrix/pairs.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "pairwise distances as explicit id pairs", "a similarity matrix listed pair by pair", "how close sampled records are, keyed by both ids".

qdrant.update_vectors

Update vectors. Update specified named vectors on points, keep unspecified vectors intact. Calls PUT /collections/{collection_name}/points/vectors.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls PUT /collections/{{params.collection_name}}/points/vectors.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "change vectors", "edit vectors", "adjust vectors".

qdrant.delete_vectors

Delete vectors. Delete named vectors from the given points. Calls POST /collections/{collection_name}/points/vectors/delete.

Class destructive (held by the mutation gate until the call's own arguments carry "confirm": true). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/points/vectors/delete.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "get rid of vectors", "take down vectors", "clear out vectors".

qdrant.get_point

Get one Qdrant point by id: the vector and the metadata of a single stored record. Calls GET /collections/{collection_name}/points/{id}.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /collections/{{params.collection_name}}/points/{{params.id}}.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "fetch one record by its id", "read a single stored vector", "show one row out of the store".

qdrant.list_shard_keys

List shard keys. Calls GET /collections/{collection_name}/shards.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /collections/{{params.collection_name}}/shards.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "show me all shard keys", "what are the shard keys", "give me every shard keys".

qdrant.create_shard_key

Create shard key. Calls PUT /collections/{collection_name}/shards.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls PUT /collections/{{params.collection_name}}/shards.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "add shard key", "set up shard key", "start shard key".

qdrant.delete_shard_key

Delete shard key. Calls POST /collections/{collection_name}/shards/delete.

Class destructive (held by the mutation gate until the call's own arguments carry "confirm": true). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/shards/delete.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "get rid of shard key", "take down shard key", "clear out shard key".

qdrant.list_shard_snapshots

List shards snapshots for a collection. Get list of snapshots for a shard of a collection. Calls GET /collections/{collection_name}/shards/{shard_id}/snapshots.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /collections/{{params.collection_name}}/shards/{{params.shard_id}}/snapshots.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "backups taken of one partition", "restore points for a single shard", "which per-shard dumps exist".

qdrant.create_shard_snapshot

Create shard snapshot. Create new snapshot of a shard for a collection. Calls POST /collections/{collection_name}/shards/{shard_id}/snapshots.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/shards/{{params.shard_id}}/snapshots.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "back up one shard of a collection", "make a restore point for a single partition", "snapshot just part of an index".

qdrant.recover_shard_from_snapshot

Restore one shard of a Qdrant collection from a snapshot, rather than the whole store: recovery for a single shard of a sharded vector store. Calls PUT /collections/{collection_name}/shards/{shard_id}/snapshots/recover.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls PUT /collections/{{params.collection_name}}/shards/{{params.shard_id}}/snapshots/recover.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "restore one shard from its backup", "recover a single shard of a store", "roll back part of a sharded index".

qdrant.delete_shard_snapshot

Delete shard snapshot. Delete snapshot of a shard for a collection. Calls DELETE /collections/{collection_name}/shards/{shard_id}/snapshots/{snapshot_name}.

Class destructive (held by the mutation gate until the call's own arguments carry "confirm": true). No scopes beyond the connection's defaults. Calls DELETE /collections/{{params.collection_name}}/shards/{{params.shard_id}}/snapshots/{{params.snapshot_name}}.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "remove a backup of one partition", "delete a shard-level restore point", "free space held by a per-shard dump".

qdrant.list_snapshots

List collection snapshots. Get list of snapshots for a collection. Calls GET /collections/{collection_name}/snapshots.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /collections/{{params.collection_name}}/snapshots.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "every backup of one collection", "restore points for an index", "which dumps of this data exist".

qdrant.create_snapshot

Take a snapshot of a Qdrant collection: a backup copy of one vector store, kept on the server, that a later recover call can restore from. Calls POST /collections/{collection_name}/snapshots.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls POST /collections/{{params.collection_name}}/snapshots.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "back up a vector store", "take a restore point for one store", "keep a copy I can roll back to".

qdrant.recover_from_snapshot

Restore a whole Qdrant collection from a snapshot: bring a vector store back from an earlier backup, replacing what it holds now. Calls PUT /collections/{collection_name}/snapshots/recover.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls PUT /collections/{{params.collection_name}}/snapshots/recover.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "restore a store from its backup", "roll a whole index back", "bring back an earlier copy of the data".

qdrant.delete_snapshot

Delete collection snapshot. Delete snapshot for a collection. Calls DELETE /collections/{collection_name}/snapshots/{snapshot_name}.

Class destructive (held by the mutation gate until the call's own arguments carry "confirm": true). No scopes beyond the connection's defaults. Calls DELETE /collections/{{params.collection_name}}/snapshots/{{params.snapshot_name}}.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "remove a backup of one collection", "delete a restore point for an index", "free the disk a collection dump uses".

qdrant.create_vector_name

Create named vector. Create a new named vector on an existing collection. Calls PUT /collections/{collection_name}/vectors/{vector_name}.

Class write (writes, no confirmation needed). No scopes beyond the connection's defaults. Calls PUT /collections/{{params.collection_name}}/vectors/{{params.vector_name}}.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "add another named vector to an index", "give a collection a second embedding field", "define one more vector slot on existing points".

qdrant.delete_vector_name

Delete named vector. Delete a named vector from a collection. Calls DELETE /collections/{collection_name}/vectors/{vector_name}.

Class destructive (held by the mutation gate until the call's own arguments carry "confirm": true). No scopes beyond the connection's defaults. Calls DELETE /collections/{{params.collection_name}}/vectors/{{params.vector_name}}.

Arguments:

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "drop a named vector from an index", "remove one embedding field and its data", "stop storing a second vector per point".

qdrant.get_issues

Report the problems Qdrant sees in itself: detected performance issues and configuration suggestions, such as a filter running without a payload index. Calls GET /issues.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /issues.

Takes no arguments.

Also retrieved by: "is anything misconfigured", "what slowdowns has the server noticed", "suggestions for making this faster".

qdrant.clear_issues

Clear issues. Removes all issues reported so far. Calls DELETE /issues.

Class destructive (held by the mutation gate until the call's own arguments carry "confirm": true). No scopes beyond the connection's defaults. Calls DELETE /issues.

Takes no arguments.

Result fields (the payload is trimmed to these before it reaches the model):

Also retrieved by: "get rid of issues", "take down issues", "clear out issues".

qdrant.list_full_snapshots

List of storage snapshots. Get list of snapshots of the whole storage. Calls GET /snapshots.

Class read (reads only). No scopes beyond the connection's defaults. Calls GET /snapshots.

Takes no arguments.

Result fields (the payload is trimmed to these before it reaches the model):