# Vector Db Migrator (`fiery_dream/vector-db-migrator`) Actor Migrate embeddings between Pinecone, Weaviate, Chroma, and Qdrant with metadata preservation and validation. No free migration tools exist in the market. - **URL**: https://apify.com/fiery\_dream/vector-db-migrator.md - **Developed by:** [Cody Churchwell](https://apify.com/fiery_dream) (community) - **Categories:** Developer tools, Integrations, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Vector Database Migration Tool Migrate embeddings between Pinecone, Weaviate, Chroma, and Qdrant with metadata preservation and validation. No free migration tools exist in the market. ### Features - **Multi-Database Support**: Migrate between Pinecone, Weaviate, Chroma, and Qdrant - **Metadata Preservation**: Keep all vector metadata intact during migration - **Batch Processing**: Efficient batch processing for large-scale migrations - **Progress Tracking**: Real-time progress updates and checkpoint recovery - **Validation**: Post-migration validation with similarity checks - **Export/Import**: Export vectors to multiple formats (JSON, NDJSON, Parquet, NumPy) ### Operations #### migrate Migrate vectors from one database to another with configurable options. #### validate Validate migration success with similarity checks and metadata verification. #### export Export vectors from any supported database to various formats. #### import Import vectors into any supported database from exported data. ### Target Use Cases - **Database Migration**: Switch vector databases without data loss - **Backup & Recovery**: Export vectors for backup and disaster recovery - **Multi-Region Deployment**: Sync vectors across regions - **Database Consolidation**: Merge multiple vector databases ### Pricing - **Free forever** on Apify (pay only for platform usage) - **Market gap**: No free migration tools exist (only paid enterprise solutions) - **Target MAU**: 700 users ### Example Usage ```json { "operation": "migrate", "sourceConfig": { "type": "pinecone", "apiKey": "your-api-key", "indexName": "my-index" }, "targetConfig": { "type": "weaviate", "url": "https://your-cluster.weaviate.network", "apiKey": "your-api-key" }, "migrationOptions": { "batchSize": 100, "preserveMetadata": true, "validateVectors": true } } ```` ### License MIT # Actor input Schema ## `operation` (type: `string`): Action to perform ## `sourceConfig` (type: `object`): Source vector database settings (JSON) ## `targetConfig` (type: `object`): Target vector database settings (JSON) ## `migrationOptions` (type: `object`): Migration configuration (JSON) ## `filterQuery` (type: `object`): Filter which vectors to migrate (JSON) ## `validationConfig` (type: `object`): Post-migration validation settings (JSON) ## `exportFormat` (type: `string`): Format for vector export ## `importSource` (type: `string`): Source file URL or path for import ## `progressTracking` (type: `boolean`): Enable real-time progress updates ## `resumeFromCheckpoint` (type: `string`): Resume migration from specific checkpoint ID ## Actor input object example ```json { "operation": "migrate", "sourceConfig": { "type": "pinecone", "apiKey": "your-api-key", "environment": "us-west1-gcp", "indexName": "my-index", "namespace": "default" }, "targetConfig": { "type": "weaviate", "url": "https://your-cluster.weaviate.network", "apiKey": "your-api-key", "className": "Document" }, "migrationOptions": { "batchSize": 100, "preserveMetadata": true, "validateVectors": true, "continueOnError": false, "transformMetadata": false, "metadataMapping": {} }, "filterQuery": { "namespace": "production", "metadataFilter": { "category": "documents", "date": { "$gte": "2024-01-01" } } }, "validationConfig": { "sampleSize": 100, "checkSimilarity": true, "similarityThreshold": 0.95, "validateMetadata": true, "validateDimensions": true }, "exportFormat": "json", "progressTracking": true } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "operation": "migrate", "exportFormat": "json", "progressTracking": true }; // Run the Actor and wait for it to finish const run = await client.actor("fiery_dream/vector-db-migrator").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "operation": "migrate", "exportFormat": "json", "progressTracking": True, } # Run the Actor and wait for it to finish run = client.actor("fiery_dream/vector-db-migrator").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "operation": "migrate", "exportFormat": "json", "progressTracking": true }' | apify call fiery_dream/vector-db-migrator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fiery_dream/vector-db-migrator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vector Db Migrator", "description": "Migrate embeddings between Pinecone, Weaviate, Chroma, and Qdrant with metadata preservation and validation. No free migration tools exist in the market.", "version": "1.0", "x-build-id": "sN2cbQ2XVZWXym56i" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fiery_dream~vector-db-migrator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fiery_dream-vector-db-migrator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fiery_dream~vector-db-migrator/runs": { "post": { "operationId": "runs-sync-fiery_dream-vector-db-migrator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fiery_dream~vector-db-migrator/run-sync": { "post": { "operationId": "run-sync-fiery_dream-vector-db-migrator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "operation": { "title": "Operation", "enum": [ "migrate", "validate", "export", "import" ], "type": "string", "description": "Action to perform", "default": "migrate" }, "sourceConfig": { "title": "Source Database Configuration", "type": "object", "description": "Source vector database settings (JSON)" }, "targetConfig": { "title": "Target Database Configuration", "type": "object", "description": "Target vector database settings (JSON)" }, "migrationOptions": { "title": "Migration Options", "type": "object", "description": "Migration configuration (JSON)" }, "filterQuery": { "title": "Filter Query", "type": "object", "description": "Filter which vectors to migrate (JSON)" }, "validationConfig": { "title": "Validation Configuration", "type": "object", "description": "Post-migration validation settings (JSON)" }, "exportFormat": { "title": "Export Format", "enum": [ "json", "ndjson", "parquet", "numpy" ], "type": "string", "description": "Format for vector export", "default": "json" }, "importSource": { "title": "Import Source", "type": "string", "description": "Source file URL or path for import" }, "progressTracking": { "title": "Progress Tracking", "type": "boolean", "description": "Enable real-time progress updates", "default": true }, "resumeFromCheckpoint": { "title": "Resume from Checkpoint", "type": "string", "description": "Resume migration from specific checkpoint ID" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```