The Agentic Data Stack
Blog post from ClickHouse
The Agentic Data Stack is an open-source, composable architecture designed to integrate AI agents directly with your data, streamlining the analytics process by eliminating traditional steps like dashboard creation and ticket queues. It emphasizes data sovereignty, allowing users to maintain control over their data, conversations, and model choices. The stack comprises three main components: LibreChat, a versatile chat interface that supports multiple LLM providers; ClickHouse MCP, a middleware that enables rapid querying of large datasets; and Langfuse, which offers comprehensive observability and quality evaluation for LLM interactions. Organizations, including Shopify, Canva, and Khan Academy, are leveraging this architecture to enhance their data interactions, allowing non-technical users to query data effectively and explore insights autonomously. The stack is easily deployable on local machines using Docker, providing users with a quick setup experience and customizable options for user credentials.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| MCP | 23 | 3,346 | 363 | 139 | +19% |
| LLM | 16 | 5,138 | 781 | 181 | +34% |
| Observability | 9 | 2,816 | 550 | 145 | +34% |
| AI Agents | 5 | 3,583 | 743 | 199 | -1% |
| RAG | 2 | 1,727 | 253 | 82 | +103% |
| Real-time | 2 | 5,046 | 1,089 | 214 | +11% |
| Multi-agent systems | 1 | 380 | 114 | 51 | -10% |
| Secrets Management | 1 | 1,388 | 209 | 84 | +19% |
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