How to load data from SFTP to Weaviate
Learn how to use Airbyte to synchronize your SFTP 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: Access the SFTP Server
First, ensure that you have access credentials (hostname, username, password, or SSH key) to connect to the SFTP server. Use a command-line interface or an SFTP client to list the files you need to transfer. The command `sftp username@hostname` can be used to establish a connection. Use `ls` to list files and `cd` to navigate directories.
Step 2: Download Data Locally
Once connected to the SFTP server, download the required data files to your local system. Use the `get` command followed by the filename to download individual files, or `mget` with wildcards (e.g., `mget *.csv`) to download multiple files at once. Ensure the files are saved in a directory where you have read and write permissions.
Step 3: Prepare the Data for Weaviate
After downloading the data, inspect and prepare it for Weaviate ingestion. Weaviate typically requires data to be in JSON format with a schema that matches your Weaviate instance. Use a scripting language like Python to parse and convert your data (e.g., CSV to JSON) and ensure that it includes all necessary fields specified by your Weaviate schema.
Step 4: Set Up a Local Weaviate Instance
If you don't have access to a hosted Weaviate instance, set up a local instance. You can do this by running Weaviate in a Docker container. Use the command `docker run -d -p 8080:8080 semi-technologies/weaviate:latest` to start the Weaviate server locally. Ensure that the Weaviate instance is running and accessible.
Step 5: Configure Weaviate Schema
Before uploading data, ensure your Weaviate instance has the correct schema. Use Weaviate’s RESTful API to define classes and properties that match the data structure you prepared. Use `curl` commands or a tool like Postman to send HTTP requests to the Weaviate API endpoints to create the schema.
Step 6: Upload Data to Weaviate
With the data prepared and the schema configured, upload the data to Weaviate. Write a script (using Python's `requests` library, for example) to send POST requests to the Weaviate `/v1/objects` endpoint. Iterate over your JSON data and send each item as a separate request. Handle responses to ensure data is uploaded successfully.
Step 7: Verify Data Ingestion
After uploading, verify that the data is correctly ingested into Weaviate. Use the Weaviate REST API to query the data and check their integrity and structure. Send a GET request to the `/v1/graphql` endpoint to perform queries and ensure that all data is present and accessible as expected.
By following these steps, you can manually transfer data from an SFTP server to Weaviate effectively, without relying on third-party connectors or integrations.