The diagnosis & self-heal
infrastructure for RAG Agents

Built for trace-level supervision of your agents at scale.

Try Self-heal via MCP →
Veralith project overview — RAG health, latency, knowledge-gap topics
Veralith analytics — trace volume, failure-cell distribution, hallucination trend
Any model · any framework · any agent
OpenAI Anthropic Google Gemini LangChain Cursor Codex
Why it matters

Built today for the reality of AI era coming tomorrow — where agents answer at a scale no human can review, and every hallucination ships silently.

Why Veralith

Not another eval dashboard.

Most tools flag the failure. Veralith fixes it.

Beyond detection

We ship fixes, not just alerts

Detection is only half the loop. Veralith turns the fix into a pull request — written by your own agent, in your own repo, over MCP.

See how self-heal works
heal #142 · retrieval_k too lowidle
# retrieval returns too few chunks
retriever = Retriever(k=3)
+retriever = Retriever(k=8)
+if not grounded(a, ctx):
+ return ABSTAIN
answer = rag(query, retriever)
Actionable by design

End-to-end diagnosis of every trace

“Faithfulness: 0.33” tells you nothing. Veralith names the failure — and the fix.

Explore the diagnosis
Typical eval → faithfulness 0.33
Hallucinatedcomplete_ungrounded
Faithfulness0%
SufficiencyLOW
Completeness0%
Suggested fixThe Q3 figure isn't in the retrieved context. Raise retrieval-K so it's fetched, and abstain when the answer isn't supported.
The whole point

Fail-safe supervision at scale

Fire-and-forget on every answer in production — no added latency, no broken requests, ever.

Reliability guarantees
# one line — never throws, no-ops without a key@veralith.trace
trace_9f2a…Grounded
trace_7a1c…Retrieval gap
trace_4c80…Hallucinated
trace_2b55…Grounded

Decompose every trace

Atomic claims, judged one by one — see exactly which broke.

Drop-in integration

One line, or the zero-change LangChain adapter. Any stack.

MCP

Self-heal runs in your repo over MCP. We never see your code.

From a silent failure to a merged fix

Four steps close the loop — instrument once, and Veralith diagnoses, heals, and monitors every trace your RAG agent serves.

Free while we're in pilot

Veralith is in active pilot — free for early teams while we learn what to charge. You'll get plenty of notice, and a say, before any pricing lands. Every tier includes the full diagnosis engine.

Hobby

Free
For prototypes and side projects finding their footing.
  • 10,000 traces / month
  • Full diagnosis & failure cells
  • Trace explorer & dashboard
  • Community support
Start free
Recommended

Team

Free in pilot
For teams running RAG in production and tuning it weekly.
  • 1,000,000 traces / month
  • Self-heal via MCP + auto PRs
  • Observability dashboards & insights
  • Email & Slack support
Join the pilot →

Enterprise

Custom
For regulated, high-volume, or self-hosted deployments.
  • Unlimited traces
  • In-VPC / on-prem deployment
  • SSO, audit logs, SLAs
  • Dedicated solutions engineer
Talk to us

Stop shipping hallucinations.

Make ’em grounded!