Chat with your database using AI

> Inferences drawn from any of the collected personal information listed above to create a profile or summary about, for example, an individual’s preferences and characteristics [0]

I think it's a brilliant use-case of AI, but I really don't like this especially considering how much personal info is in that list. Kudos for being transparent about it, though.

[0] https://insightbase.ai/privacy

Created an account to play with it. Great work! Some suggestions:

1. Accuracy needs to be worked upon. I asked "How many total movies are there" in the demo project, it gave me "You are trying to run an unsafe operation" (!!).

2. It asks for database access if you want to run on your database. Until the trust in the tool is developed and value proposition is clear, will be hard to give any database access.

I found myself wanting something like this the other day trying to query some BigQuery tables I was unfamiliar with.

With that being said, from my vantage, the value of a tool like this is writing the SQL query for me that I can understand, verify, and reuse.

Since it doesn't look you do that, and only return charts or "answers", you're locking users into an analytics solution rather than a tool that provides flexibility to any traditional BI solution.

Perhaps this is explained by a difference in target audience.

Great idea. Looks like a terrific implementation.

Here are things I think and wonder having watched your video and browsed your website...

It makes a very big claim but offers little information. I suppose it's early days but I would need to know things about the interaction with my database.

You give it a connection string only. Is it your claim that it will figure out my database, as if an embedded training set? With no further guidance on my part?

Considering that most of the world uses SQL, your choice to use Mongo in the video demonstration makes me wonder. Is SQL query generation a future thing? That makes me wonder about the status of the project?

You show nice graphs in the demo. Are there limits to what kinds of graphs it can make? Is it some kind of AI generator tech that would allow me to ask it to make anything?

I think this is a really nice looking and potentially wonderful app. I wish you all the luck.

How do you prevent question misinterpretation, with possible non-evident bad results?

(E.g. a complex question would have '42' as correct return value, but misinterpretation has the engine return '345'.)

You are at least 23 days late: https://news.ycombinator.com/item?id=35186160

Also: https://news.ycombinator.com/item?id=35210093

Go faster of you want to succeed on such an obvious idea.

Do you have cofounders? Are you in SV? What about fund raising? Are the questions i would ask myself. And also you need to hire one of the bests.

Edit: not about microsoft 360, it's just about my comment.

I'm ready to pay for a service like this that can let me use my own openai key, can maintain privacy and work with OAuth.

It's good that you can get some information using natural language, but can you get to something like "does metacritic give lower scores to some genres more than others" ?

I work in health and I'd be asking something like "how strongly is condition x associated with demographic y". In practice I think I'd still need to give a very detailed 'prompt' listing all the clinical terms or codes to use.

Since AI's main achilles heal is that it can make up responses, isn't a database widget view the worst use case? Wouldn't you want to be sure the displayed data was exactly correct?

Nice job! We're building something similar for SQLite databases at https://www.airsequel.com. It's not mentioned on the landing page yet, but in our SQL workbench you can already use an AI prompt to generate SQL queries. We think it's important to also show the SQL query and make it editable so that the user can immediately fix simple errors, which is often faster than re-prompting.

We're also working on AI assisted initial database generation (aka dump any data and let the AI figure out how to build up a database from it) and AI assisted Charts / Dashboard generation, which will both be released soon!

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Good job! Databend has a AI_TO_SQL function to do it: https://databend.rs/doc/sql-functions/ai-functions/ai-to-sql

I'd like something like this for exploration of graph databases such as Neo4j.

Developing a similar tool with 1-click connection setup and GPT-4 streaming (really improves the generated SQL). I think business analytics tool will have to change their pricing significantly soon due to AI (my pricing starts at $5 per month). I mean, have AI generate SQL and setup a proxy to run the SQL queries directly and display the results in a table. That is a really powerful and accessible tool for a lot of people and it is hard to justify spending upwards to $50 for Tableau and the likes.

[0] https://aihelperbot.com/

Really great use case to be fair and congratulations on the launch. Wanted to ask: 1. how well does it handle joins among multiple tables to find an answer 2. what happens if your tables and fields to not make a lot of sense in English? Thanks!

I'm getting a "Could not detect database schema" error when I try to connect to a MySQL database. The DB user has select privileges so it should work, I think... any ideas?

I like these projects (recently tried https://databerry.ai and pick any random other two from https://custombot.ai) and where they are going but they don't yet fit what I'm looking for, I've played around the sql agent using langchain etc and it's still a miss most of the time. I don't want charts for basic queries about my users or growth etc as I can write much more detailed queries that can be run anytime and if this is geared towards managers something like https://trevor.io is a tab bit better as it will always give you explicit results.

What I want from an ai tool is strong "inferences" or some "understanding" of the data. Say I have a table with stock data and for this example it just has the following columns, ticker, close, volume_traded, eps_from_last_report, shares_outstanding. Some questions I should be able to ask are

1. What is the market cap of ticker X?

2. What is the 52 week high of ticker Y?

3. Which week had the most growth for ticker Y compared to the least growth for ticker X?

4. What is the pe ratio for ticker Z end of last quarter?

I hope you get my point, if it's a case where I have to fill in some data/formulas to guide it on what I expect that's fine as well but a pass thru to gpt with a subset of the data in the prompt won't hold up outside of toy cases or limited data. If you can solve that use case reliably then you're miles ahead of the pack.