[flagged]
Is it open source?
The biggest problem with retrieval is actually semantic relevance. I think most embedding models don't really capture sentence-level semantic content and instead act more like bag-of-words models averaging local…
Not at all in my opinion. Its a zero sum game against anti bot technologies also employing AI to block scrapers.
This really feels like a missed opportunity to build something genuinely new, something that actually plays to the strengths of LLMs, instead of just embedding a fixed set of app screens inside chat. Ideally, users…
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So, I have not tried it on a very complex database myself so I can't comment how well it will work in production systems I have tried this approach with a single Big Query table and it worked pretty well for my toy…
Can you please add support to add descriptions of each column and enumerated types? For example, if a column contains 0 or 1 encoding the absence of presence of something, LLMs need to know what 0 and 1 stand for. Same…
This is not a difficult problem to solve. We can add the schema, columns and column descriptions in the system prompt. It can significantly improve performance. All it will take is a form where the user supplies details…
[flagged]
Is it open source?
The biggest problem with retrieval is actually semantic relevance. I think most embedding models don't really capture sentence-level semantic content and instead act more like bag-of-words models averaging local…
Not at all in my opinion. Its a zero sum game against anti bot technologies also employing AI to block scrapers.
This really feels like a missed opportunity to build something genuinely new, something that actually plays to the strengths of LLMs, instead of just embedding a fixed set of app screens inside chat. Ideally, users…
[dead]
So, I have not tried it on a very complex database myself so I can't comment how well it will work in production systems I have tried this approach with a single Big Query table and it worked pretty well for my toy…
Can you please add support to add descriptions of each column and enumerated types? For example, if a column contains 0 or 1 encoding the absence of presence of something, LLMs need to know what 0 and 1 stand for. Same…
[dead]
This is not a difficult problem to solve. We can add the schema, columns and column descriptions in the system prompt. It can significantly improve performance. All it will take is a form where the user supplies details…