llamacpp + rag?

[frenzybiscuit]

What's the proper way to connect to a llamacpp server for RAG on Librechat?

Works on OWUI, just want to be sure its supported here. The docs dont go into any details.

[onestardao]

It usually comes down to how the RAG layer is wired, not just whether LibreChat "supports" llama.cpp out of the box.
From your description, two things matter:

1. Connector vs. semantic layer — LibreChat can talk to llama.cpp as long as you expose it through an OpenAI-compatible API. But if you just pipe it in raw, RAG often fails on subtle issues (chunking drift, logic collapse). That’s not a “docs missing” bug, it’s a semantic mismatch problem.
2. Where to debug — instead of only testing infra (ports, API keys), try running a semantic trace: give the model a controlled repro file, check if retrieval collapses at query edges, and see if the output stabilizes.

Think of it like a semantic firewall: you don’t need to change your infra, you need a guardrail layer that catches those collapse cases before they snowball. We’ve catalogued these failure modes (e.g. Problem no1 Hallucination & Chunk Drift, no6 Logic Collapse).

Quick way to self-test: download a tiny “trace pack” like TXTOS or wfgy core (v2.0), attach it, and then literally ask your AI “what’s failing in my RAG wiring?”. You’ll usually get a more precise answer than trial-and-error in configs.