manage_payload_index
Creates or deletes payload field indexes on a collection. Indexes improve filter performance during search. Supported field types: `keyword`, `integer`, `float`, `geo`, `text`, `bool`, `datetime`, `uuid`. Text indexes support tokenizer configuration.
manage_snapshots
Creates, lists, deletes, or recovers collection snapshots. Snapshots are tar archive files containing collection data and configuration. Use them for backups, data archiving, or replicating deployments. Supports both collection-level and full storage snapshots.
manage_payload
Sets, overwrites, deletes, or clears payload data on points. Supports targeting points by IDs or filter conditions. Use **set** to merge new payload fields, **overwrite** to replace the entire payload, **deleteKeys** to remove specific keys, or **clear** to remove all payload data.
recommend_points
Finds similar points based on positive and negative examples. Positive examples define what you're looking for; negative examples define what to avoid. Examples can be point IDs or raw vectors. Supports two strategies: `average_vector` (averages all examples) and `best_score` (evaluates each candidate against all examples).
create_collection
Creates a new Qdrant collection with specified vector parameters. Supports single unnamed vectors or multiple named vector spaces for multi-modal data (e.g., text + image embeddings). Configure distance metric, dimensionality, and optional HNSW/quantization settings.
search_points
Performs vector similarity search using the universal query API. Finds the closest points to a query vector, with optional filtering, score thresholds, and support for named vector spaces. This is the primary search mechanism for semantic/neural search.
list_collections
Lists all collections in the Qdrant cluster. Returns the name of each collection. Use this to discover available collections before performing operations on them.
get_points
Retrieves specific points by their IDs from a collection. Returns the point payload and optionally the vector data. Use this to look up known points by ID.
delete_collection
Permanently deletes a Qdrant collection and all its data. This action cannot be undone.
delete_points
Deletes points from a collection by IDs or by a filter condition. Use IDs for targeted deletion or filters for bulk removal based on payload conditions.
count_points
Counts the number of points in a collection, optionally filtered by payload conditions. Supports both exact and approximate counting modes.
discover_points
Finds points similar to a target constrained by a context of positive/negative example pairs. Context pairs partition the vector space, guiding the search toward regions where positive examples overlap. Without a target, performs pure context-based exploration. Useful for controlled exploration beyond simple nearest-neighbor search.
upsert_points
Inserts or updates points (vectors with optional JSON payloads) in a collection. Supports batch operations. Each point requires an ID (integer or UUID string) and a vector. Payloads can include any JSON data for filtering and retrieval.
scroll_points
Iterates through points in a collection with pagination. Supports filtering by payload conditions. Returns points along with a pagination offset for fetching the next page. Useful for browsing, exporting, or processing all points in a collection.
manage_aliases
Creates, deletes, or renames collection aliases. Aliases provide alternative names for collections, useful for versioning or A/B testing. Multiple alias operations can be performed atomically in a single call. Can also list existing aliases.
get_collection
Retrieves detailed information about a specific Qdrant collection, including its status, vector configuration, point count, indexed vectors count, and payload schema. Useful for inspecting collection health and configuration.
manage_clusters
Manages Qdrant Cloud clusters. List, get details, create, delete, restart, suspend, or unsuspend clusters. Requires a Cloud Management API key and account ID in the configuration.
Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.
Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Subscribe to webhooks for list and library change notifications. Retrieve site properties and search for sites across Microsoft 365.
Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Subscribe to real-time change events via Change Data Capture and Platform Events. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.
Create, read, update, and delete records in Airtable bases and tables. Manage base schemas including creating tables and fields. Filter records using formulas, sort by fields, and scope queries to specific views. Upsert records to find, create, or update in a single call. Upload attachments to records, read and write record comments, list accessible bases, and receive real-time base change events through webhooks.
Manage Git repositories, pull requests, and CI/CD pipelines on Bitbucket Cloud. Create, fork, and configure repositories within workspaces and projects. Create, review, approve, merge, and decline pull requests with inline code comments. Browse source code, list commits, and manage branches and tags. Track issues with the built-in issue tracker. Trigger, monitor, and manage Bitbucket Pipelines. List workspace members, configure repository default reviewers and branch restrictions, create and manage repository webhooks, and search code across repositories.
Deploy, manage, and scale applications on Heroku's cloud platform. Create and configure apps, scale dynos, provision add-ons (databases, caching, etc.), manage configuration variables, build and release code, add custom domains and SSL certificates, manage collaborators and team permissions, configure pipelines for continuous delivery, set up log drains, and sync data with Salesforce via Heroku Connect. Subscribe to webhooks for real-time notifications on app changes, builds, releases, dyno lifecycle events, and more.
Store, search, and manage vectors with JSON payloads in a vector database. Create and configure collections with custom vector parameters, distance metrics, and multiple named vector spaces. Upsert, retrieve, and delete points (vectors) individually or in batches. Perform similarity search, filtered search, hybrid search, and multi-stage queries using dense or sparse vectors. Build recommendation systems using positive/negative examples with configurable scoring strategies. Run discovery searches constrained by context pairs. Filter results by payload fields including keyword matching, full-text search, numerical ranges, and geo-locations. Group search results by payload field. Create, list, download, and delete collection snapshots for backup and recovery. Manage cloud clusters, API keys, backup schedules, and hybrid cloud environments. Generate vector embeddings via built-in inference for text and other data types.
Common questions about connecting Qdrant to AI agents with Metorial.
