Hasura

Your company brain will leak secrets: how we stopped it for big banks — Tanmai Gopal, PromptQL

Sep 3, 2026 · 26:25

Tanmai Gopal explains how to build a company brain: a single shared wiki of markdown files holding all context, with per-file read/write scopes. The agent proposes facts and scopes; a human accepts or rejects each change, with their name attached so leaks have an owner. Two use cases: personal recall (security questionnaire) and multiplayer debugging. Credentials are injected per user at the HTTP and SQL layers, never stored in the sandbox. Keep the summary between 500 and 800 characters — over that, it's rejected outright.

Building efficient hybrid context query for LLM grounding: Simrat Hanspal

Feb 5, 2025 · 11:35

Simrat Hanspal from Hasura explains how to build efficient hybrid context queries for LLM grounding using Hasura's GraphQL API, demonstrated via an e-commerce product search use case. The talk covers three query types: semantic search (e.g., 'essential oils for relaxation'), structured search (e.g., 'products less than $500'), and hybrid queries combining both (e.g., 'essential oil diffusers between $500 to $1,000'). Hanspal shows how Hasura unifies relational (Postgres) and vector (Weaviate) databases into a single GraphQL API, auto-vectorizing records via events. A critical security demonstration highlights how role-based permissions (e.g., 'Product Search Bot' role with only select access) prevent malicious insert mutations like adding a fake product with ID 7001. The approach enables secure, dynamic data retrieval for Retrieval-Augmented Generation (RAG) pipelines without building separate APIs.