Context layer for PostgreSQL, SQL Server and MySQL that keeps selected data synchronized and provides governed retrieval, RAG, and AI agents without migrating the system of record.
Quill is RavenDB’s context layer for bringing AI agents, retrieval and generative-AI workflows to existing PostgreSQL, SQL Server and MySQL systems without replacing the system of record.12
Quill runs alongside the source database, uses change-data capture to maintain a selected synchronized context layer, and keeps AI workloads away from production SQL processing.12 Official documentation describes a single-container deployment, selected-table mirroring, search/retrieval, agents, web chat, and channels including Telegram, Slack and Discord.2 The product is model-flexible: documented providers include OpenAI, Azure OpenAI and Ollama, using customer-supplied credentials.2
The documented design lets administrators select which tables, columns and rows are synchronized and scopes agent access to the data each agent needs. RavenDB also documents TLS, dashboard access controls and self-host/on-prem deployment options.12 These are architecture claims supported by first-party documentation; AiToolMap did not penetration-test or independently validate the controls.
Quill requires Docker and a reachable supported SQL database. The official getting-started flow provides a 90-day trial with no card required.3 The reviewed official sources do not publish a durable post-trial list price, so value-for-money is scored conservatively rather than inferring a commercial price.
Current independent launch coverage from Blocks & Files and Techzine corroborates the no-migration context-layer design, supported SQL systems, cloud/on-prem deployment and governed data-exposure thesis.45 Their reporting also repeats vendor time-to-production claims, which AiToolMap treats as vendor claims rather than independent benchmarks.
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