Be AI-ready at all times

Move structured and unstructured data together, in the same pipeline, to ensure your AI gets real context. Break down data silos and ingest data in flexible schemas like Iceberg to ensure data fidelity and metadata preservation.

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AI is only as good as the data it ingests. Provide your LLMs with the best data possible.

Empower GenAI workflows by moving data into AI-enabled data warehouses

Leverage the native vector support offered by Snowflake Cortex and Bigquery’s Vertex AI to power your Gen AI applications.

Use Airbyte’s Snowflake Cortex destination to directly store vector data in Snowflake!

Get started with Snowflake Cortex

Build Retrieval based LLM apps on top of synced data

Add a retrieval based conversational interface to raw or transformed data loaded using Airbyte.

Use your favorite LLM frameworks like LangChain or LlamaIndex. Build AI co-pilots, agents, workflows and more.

Build a chat app using LangChain

Understand your data via LLM-powered actionable insights

Use Airbyte to combine data from diverse sources, improving the accuracy of your NLP tasks.

Provide actionable insights into your data by building ML applications involving sentiment analysis, clustering and classification.

Check our MindsDB tutorial

Create training datasets & fine tune ML models specific to your use case

Train models using domain-specific or proprietary data from your company and customers.

Models drift over time. Airbyte ensures you have the latest data needed to train and maintain model performance over time.

Learn how to fine tune your LLM

Develop AI-ready pipelines your way

Airbyte is built around an ethos of flexibility that allows you to decide how you want to deploy Airbyte and how you want to move data.

Self-hosted or cloud-hosted, connectors for your own usage or embedded in your own product.

Explore Pricing Plans

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