PromptQL – Solving Context Size and Accuracy Issues in LLM Tool Calling

Show HN: PromptQL – Solving Context Size and Accuracy Issues in LLM Tool Calling

PromptQL – Solving Context Size and Accuracy Issues in LLM Tool Calling is a company in show hn launch.

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After many months of hard work, trying to understand the challenges and issues around AI and data, we’re excited to be able to share PromptQL (https://promptql.hasura.io), a new tool to build assistants to talk to your data.Try it by building a GitHub issues assistant: https://promptql.hasura.io/docs/example-githubYou may know Hasura as “the GraphQL on Postgres” tool, but the product has been significantly generalized since those early days, and last year, we launched Hasura DDN (https://hasura.io/blog/launching-hasura-ddn), the third major iteration of our data API product. Briefly, DDN was a major step forward in terms of the expressivity of Hasura - where Hasura v2 supported a few differe

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Website: promptql.hasura.io/spec