aaronsteers

6 ms·

1. 1.▲
   by aaronsteers 4mo ago

   Great point. Many of Airbyte's customers are doing just that - adding new sources to their warehouses - like Google Drive, Gong, and a ton of sources that weren't as interesting previously for data analytics. But this creates a to
2. 2.▲
   by aaronsteers 4mo ago

   It's a good question and I won't pretend to predict the future on this one. I will say, I think Airbyte Agents is in a good position because our core Data Replication product has always had to mitigate the impacts of rate limiting
3. 3.▲
   by aaronsteers 4mo ago

   Agreed 100% - we're still super early in this journey, gathering data from our own usage and from our customers' feedback.
4. 4.▲
   by aaronsteers 5mo ago

   Helpful feedback, thank you! And your instincts are spot on. As of now, we have API based search, with filter predicates and field selection in JSON. While we haven't published anything on the backend implementation, I can say it does
5. 5.▲
   by aaronsteers 5mo ago

   Hey, fair enough. (100% human here, btw.) I think I misread your original question to be asking "why do we need a service (whether accessed via API/SDK/MCP/etc.)" vs just having skills (markdown + scripts)". If
6. 6.▲
   by aaronsteers 5mo ago

   Great question, @Tsarp - Skill and tools work great together. What we've found is that agents generally need both to achieve great results. We're actually not trying to replace skills, but to give them new super powers. Are there
7. 7.▲
   by aaronsteers 5mo ago

   The new Airbyte Agents offering brings a ton of new capabilities actually. 1. Programmatic Interfaces: Including a new REST API, SDK, and MCP Server. 2. New action verbs: Not just replication anymore. We have get/set/list/upd
8. 8.▲
   by aaronsteers 5mo ago

   Hi, @jessewmc. Thanks for your reply. Regarding your points: > If I'm reading correctly, the indexing (Context Store) is neutral/unopinionated? How does it select fields for indexing? While we haven't yet published details
9. 9.▲
   by aaronsteers 5mo ago

   Hey, swyx! Great seeing you here. > airbyte agents could serve as a form of MCP gateway Exactly! And a single set of tools for agents to access both realtime (direct reads/writes) as well as cached (Context Store), bringing hopefull
10. 10.▲
    by aaronsteers 5mo ago

    Glad to hear this resonates with you also. We're aiming to give agents more control over their context, and easier access paths regardless of the source system.
11. 11.▲
    by aaronsteers 5mo ago

    +1 Working with APIs is often frustrating and the worst ones are terribly ineficient and frustrating. Our Agent SDK and Agent Context Store insulates you and your agent from this headache, allowing you to query from those synced datasets di
12. 12.▲
    by aaronsteers 5mo ago

    Thanks! Really appreciate the kind words. Looking forward to seeing what our amazing community builds with these new tools.
13. 13.▲
    by aaronsteers 5mo ago

    That's great to hear - great minds think alike! > give the agent access to the DB This is where Airbyte really can shine, I think, and the total can be more the sum of the parts. Because Airbyte excels at data replication already, w
14. 14.▲
    by aaronsteers 5mo ago

    Hello, Jared! Small world! Yes, we did deprecate our old PbA (Powered by Airbyte) offering, but in many ways our new Agents and Embedded offering is a more robust and agent-friendly successor to that older offering. I am happy to hear you a
15. 15.▲
    by aaronsteers 5mo ago

    AJ here, from Airbyte. Yes, we've definitely found that some API data models are easier for models to navigate than others. The largest factors of Agent inefficiency we've identified so far are: 1. Many APIs lack robust-enough sea
16. 16.▲
    by aaronsteers 2y ago

    I was very pleased to demo PyAirbyte and my AI Chatbot self-contained in a Jupyter Notebook, along with our new support for the PGVector destination. My colab notebook is here if you want to kick the tires: https://colab.research
17. 17.▲
    by aaronsteers 3y ago

    Thanks for this feedback! I do agree there are some similarities as I called our as common benefits of using "EL pairs" on both sides of the process. Here are my thoughts though on the importance of the distinction... The first pl
18. 18.▲
    ELTP: Extending ELT for Modern AI and Analytics(airbyte.com)

    74 points by aaronsteers 3y ago|15 comments
19. 19.▲
    by aaronsteers 3y ago

    Although not evil, adult content should be opt-in, and should be able to be opted-out at a platform level... hence, the need for censored models. Imagine a restaurant booking AI app, built on GPT, that accidentally doubled as a bomb-making