How to load data from Vitally to Weaviate
Learn how to use Airbyte to synchronize your Vitally data into Weaviate within minutes.
Building your pipeline or Using Airbyte
Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.
Building in-house pipelines
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
After Airbyte
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes
Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
Simple & Easy to use Interface
Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.
Guided Tour: Assisting you in building connections
Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.
Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes
Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.
What sets Airbyte Apart
Modern GenAI Workflows
Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.
Move Large Volumes, Fast
Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.
An Extensible Open-Source Standard
More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.
Full Control & Security
Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.
Fully Featured & Integrated
Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.
Enterprise Support with SLAs
Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.
What our users say
Raman Singh
Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend
Chase Zieman
“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”
Rupak Patel
"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."
How to Sync to Manually
Step 1: Export Data from Vitally
First, you need to export your data from Vitally. Log in to your Vitally account, navigate to the data or reports section, and choose the export option. Select the data you wish to export and choose a format that Weaviate can read, such as CSV or JSON. Download the file to your local machine.
Step 2: Prepare Data for Import
Once you have your exported data, open the file and inspect its structure. Ensure that the data fields are correctly labeled and formatted. Weaviate requires a specific schema, so you may need to adjust the data structure to align with Weaviate’s requirements. This may involve renaming columns, changing data types, or restructuring the data into a JSON format suitable for Weaviate.
Step 3: Set Up Weaviate Instance
Before you can import data, ensure you have a running Weaviate instance. You can either run Weaviate locally using Docker or deploy it on a cloud service provider. Follow Weaviate’s official documentation for installation and setup instructions. Ensure that the instance is operational and accessible.
Step 4: Define Weaviate Schema
In Weaviate, a schema defines how the data is structured and stored. Use the Weaviate console or API to define your schema, ensuring it matches the structure of the data you're importing. This involves specifying classes, properties, and data types that align with your data from Vitally. Make sure the schema is active and correctly configured.
Step 5: Convert Data to Weaviate Format
Convert your prepared data into a format that can be ingested by Weaviate. This typically involves transforming your CSV or JSON data into a JSON format that aligns with the defined Weaviate schema. Each data entry should be formatted as an object with properties corresponding to the schema fields.
Step 6: Use Weaviate API for Data Import
With your data formatted, use Weaviate’s RESTful API to import the data. Write a script or use a command-line tool like `curl` to send HTTP POST requests to the Weaviate instance. Each request should contain a data object in the body, formatted according to your schema. Ensure the API endpoint and authentication details are correct.
Step 7: Verify Data Integrity
After importing the data, verify its integrity within Weaviate. Use the Weaviate console or API to query the data and ensure it was imported correctly. Check for any discrepancies or errors in the data fields, and confirm that all expected records are present and accurately represented according to the schema.
By following these steps, you can successfully move data from Vitally to Weaviate without relying on third-party connectors or integrations.