Agentic Data Stack#171
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You run it yourself
You can, but to reduce friction we should lead with the fully managed service on cloud while still highlighting that it's simple for users to self host
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Updated the doc to now lead with ClickHouse Agents and link out to the docs, following with self-hosted Agentic Data Stack. Let me know if you want to tweak further or shift messaging entirely.
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needs feedback loop ability, via langfuse
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@dhtclk also compare with https://langfuse.com/integrations/agentic-data-stack |
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Thanks @graphaelli - made some tweaks based on feedback. Compared to and linked out to langfuse docs as well. |
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| The agent works through the ClickHouse MCP server to inspect your databases and tables, run read-only queries, and build an answer from the results. The stack wires this up for you, so LibreChat queries your data from the first sign-in. Stand up the full stack with the [Docker setup guide](/products/agentic-data-stack/docker-setup). | ||
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| ## Build an agent over your data {#build-an-agent} |
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This page feels a little weird with an H2 header for every capability of LibreChat. Maybe it would be better suited as a table under an H2 header called "Librechat capabilities"/"Librechat features" or something similar.
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Maybe it's fine, not sure, will leave up to you.
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I converted this to a table, I think it's much less awkward.
Co-authored-by: Shaun Struwig <41984034+Blargian@users.noreply.github.com>
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Iterating on Agentic Data Stack Docs
Note
Low Risk
Documentation-only changes with no application or infrastructure code; risk is limited to doc accuracy and broken links.
Overview
This PR turns the Agentic Data Stack section from a one-line overview into a full documentation area for managed ClickHouse Agents vs. the self-hosted open-source stack.
The overview is rewritten as a landing page: what agentic analytics means, capabilities, architecture diagram, component table, managed vs. self-hosted paths, and links to related AI guides.
Navigation moves from a single “Overview” page to Get started (overview + Docker setup) and Components (LibreChat, MCP server, Langfuse).
New guides cover Docker Compose setup (clone,
prepare-demo.sh, URLs, model/MCP selection, stop/reset, compose wiring), plus component pages for LibreChat (agents, MCP, artifacts, sharing, stack defaults), the ClickHouse MCP server (read-only tools), and Langfuse (tracing and evals in the stack).Reviewed by Cursor Bugbot for commit 6c7d56d. Bugbot is set up for automated code reviews on this repo. Configure here.