Alternatives
Products that do what Hasura PromptQL: A new way of talking to your data does
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-github You 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…
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2018 · github.com
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Instant GraphQL backend with Hasura & Neon in under 2 mins
2022
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SnapQL is an open-source desktop app (built with Electron) that lets you query your Postgres database using natural language. It’s schema-aware, so you don’t need to copy-paste your schema or write complex SQL by hand. Everything runs locally — your OpenAI API key, your data, and your queries — so it's secure and private. Just connect your DB, describe what you want, and SnapQL writes and runs the SQL for you.
2025 · github.com
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Simon(sfarshid) and I spend a lot of time on GitHub. As data nerds we put together a quick tool to explore your repository’s data. How it works: - Data Loading: We use dlt to pull data (issues, PRs, commits, stars) from GitHub - Semantic Layer: Relta wraps the underlying dataset into a semantic layer so the LLM doesn’t hallucinate. - Text-to-SQL: A text-to-SQL agent transforms your plain-English question into a query using the semantic layer - Generative Charts: assistant-ui dynamically generates a chart based on the SQL query - Refinements: If the semantic layer can’t handle your question,…
2024 · github.com
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Hey HN! We recently launched a new capability to Hasura GraphQL Engine: Streaming Subscriptions for Postgres. Today we have a variety of solutions to ingest and store a large amount of data or a stream of data. However, once this data has been captured, securely exposing this data as a continuous stream to a large number of HTTP clients concurrently is a challenge. These are the challenges that Hasura aims to address: 1. Allow for Authorization rules so that clients can only consume the subset of the stream they have access to 2. Prevent missing events and allow each client to move through…
2022 · hasura.io
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Hi HN, A few of our team members at Airbyte (and Joe, who killed it!) recently played with building our own internal support chat bot, using Airbyte, Langchain, Pinecone and OpenAI, that would answer any questions we ask when developing a new connector on Airbyte. As we prototyped it, we realized that it could be applied for many other use cases and sources of data, so... we created a tutorial that other community members can leverage [http://airbyte.com/tutorials/chat-with-your-data-using-opena...] and the Github repo to run it…
2023 · airbyte.com
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2024 · github.com
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Hey HN! We’re Emma and Chris, founders of Velvet (https://www.usevelvet.com). Velvet proxies OpenAI calls and stores the requests and responses in your PostgreSQL database. That way, you can analyze logs with SQL (instead of a clunky UI). You can also set headers to add caching and metadata (for analysis). Backstory: We started by building some more general AI data tools (like a text-to-SQL editor). We were frustrated by the lack of basic LLM infrastructure, so ended up pivoting to focus on the tooling we wanted. So many existing apps, like Helicone, were hard to use as power…
2024 · usevelvet.com
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Hey there! I’ve been working on DB Pilot for the last couple of months, and I recently added an AI assistant powered by GPT 3.5 to help you write SQL queries tailored to your DB schema. Simply ask what data you are looking for - GPT will figure out which tables to use, how to join them, and then write a query for you. The AI assistant knows which tables and columns exist in your database, meaning it can write queries specific to your schema. Besides that, it doesn't have access to any actual data from your database though, meaning your data doesn't get exposed to OpenAI.
2023 · dbpilot.io
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Hi HN - I'm Venkat, founder of Stayflexi (YC), CMU CS grad and Ex-Oracle Query Engine team (patents in core databases) DeepSQL started as an internal tool to stop our own databases from becoming the bottleneck they were becoming (13,000+ hotels in production). It worked well enough that we're releasing it. DeepSQL is an AI agent that operates a database the way a senior DBA and Data Engineer would 1. Fixes slow queries (we cutdown DB spend by 4x) 2. Fixes DB bloat (blocks unnecessary schema changes, in vibecoded setup) 2. BI dashboards(we removed spend on tableau, retool and appsmith) 3.…
Jul 2026 · deepsql.ai
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