list_objects
List objects from a collection using the REST API. Supports pagination via limit/offset or cursor-based pagination. Use this for simple object retrieval without search ranking; for search use the **Search Objects** tool instead.
search_objects
Search for objects in a Weaviate collection using various search methods: - **nearText**: Semantic search using natural language concepts (requires a text vectorizer) - **nearVector**: Search by raw vector similarity - **nearObject**: Find objects similar to an existing object - **hybrid**: Combined vector + keyword search with configurable weighting - **bm25**: Pure keyword search using BM25 ranking Exactly one search method must be provided. Results can be filtered with a where clause and paginated with limit/offset.
get_collection
Retrieve the full schema definition of a specific collection, including its properties, vectorizer configuration, module settings, vector index type, and multi-tenancy configuration.
update_object
Update an existing object's properties in a collection. Use **replaceAll** mode to replace all properties (PUT), or **patch** mode to merge only the provided properties (PATCH).
create_collection
Create a new collection (class) in Weaviate with its schema definition. Configure properties, vectorizer, generative module, vector index settings, and multi-tenancy. The vectorizer and generative module **cannot be changed after creation**.
aggregate_collection
Run aggregation queries over a collection to compute metrics like counts, sums, averages, min/max, top occurrences, and more. Supports grouping by a property and filtering with a where clause. Provide the raw GraphQL aggregation body for full flexibility, or use the simplified parameters.
batch_delete_objects
Delete multiple objects from a collection that match a given where filter. Supports dry-run mode to preview which objects would be deleted without actually removing them.
list_collections
List all collections (classes) in the Weaviate instance. Returns each collection's name, description, properties, vectorizer, and configuration.
update_collection
Update an existing collection's settings or add new properties. You can update the description, inverted index config, replication config, and add new properties. Note: You **cannot change** the vectorizer, generative module, or existing properties after creation.
get_object
Retrieve a specific object from a collection by its UUID. Optionally include the vector embedding and classification info in the response.
cluster_status
Get comprehensive information about the Weaviate instance including version, module list, cluster health, and node statuses with shard and object counts.
generative_search
Perform Retrieval Augmented Generation (RAG) by searching a collection and prompting an LLM with the retrieved results. Requires a generative module configured on the collection. Two generation modes: - **Single prompt**: Generates a response for each result individually, using object properties via `{propertyName}` template syntax. - **Grouped task**: Generates one response from all results combined, using all or selected properties as context.
batch_create_objects
Import multiple objects into one or more collections in a single batch request. Optionally include pre-computed vectors for each object. Supports multi-tenant collections.
create_object
Create a new data object in a Weaviate collection. Optionally provide a pre-computed vector embedding, or let the configured vectorizer generate one automatically. Supports multi-tenant collections by specifying the tenant name.
delete_object
Delete a specific object from a collection by its UUID. This permanently removes the object and its vector embedding.
delete_collection
Permanently delete a collection and all its objects from the Weaviate instance. This action cannot be undone.
manage_backup
Create, restore, or check the status of a Weaviate backup. Supports S3, GCS, Azure, and filesystem backends. - **create**: Start a new backup of all or selected collections. - **restore**: Restore a previously created backup. - **status**: Check the status of a backup or restore operation.
manage_tenants
Manage tenants in a multi-tenant collection. Supports listing, adding, updating status, and removing tenants. Each tenant provides data isolation with its own shard. Tenant statuses: **ACTIVE** (available), **INACTIVE** (stored locally but not loaded), **OFFLOADED** (moved to cold storage).
manage_references
Add or remove cross-references between objects across collections. Cross-references create links between objects, enabling graph-like data traversal.
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 data objects with vector embeddings in an AI-native vector database. Create and configure collections with vectorizers and generative modules. Import objects individually or in batches with automatic or custom vector embeddings. Perform semantic (vector) search, hybrid search combining vector and keyword (BM25) matching, and filtered queries. Execute retrieval augmented generation (RAG) using integrated LLMs. Aggregate data across collections for statistical metrics. Manage multi-tenant data isolation, create and restore backups, and administer users and roles with RBAC. Monitor cluster health and node status.
Common questions about connecting Weaviate to AI agents with Metorial.
