Loading ChunkFunkChunkFunk keeps support copilots, docs assistants, internal knowledge bots, sales agents, and codebase assistants from quietly serving stale or broken context.
No credit card · connect a source in 2 min
RAG usually starts as a helpful assistant. It becomes risky when the sources keep changing and nobody owns the care loop. These are the first workflows ChunkFunk should watch.
Founders and support teams shipping a help-center chatbot.
Solo builders and DevRel teams turning docs into a product assistant.
Small teams using Notion, Google Docs, GitHub, or handbook pages as company memory.
Builders using product docs, pricing pages, CRM notes, and case studies for sales answers.
Technical founders using repo docs, READMEs, ADRs, and API routes as agent context.
Teams grounding product assistants in catalog, shipping, returns, and support content.
Your RAG system was great at launch. Then sources drift, docs change, crawls break, and chunks pile up. ChunkFunk watches for all five.
Oversized, truncated, or split mid-sentence — flagged and re-chunked.
Pages that changed since last sync, surfaced before they mislead.
Near-identical passages clustered and merged to stop dilution.
404s, auth failures, and dead feeds caught the moment they break.
Slow drift in answer quality, tracked with ongoing retrieval tests.
Not a dashboard you check once. A care engine that runs continuously and shows you exactly what it found, fixed, and is still watching.
Every source moves through the same six states — continuously. ChunkFunk is the part of your stack that never assumes the job is done.
Re-reads every connected source on a schedule.
Flags messy chunks, stale pages & broken crawls.
Sorts & de-duplicates overlapping context.
Re-chunks, re-crawls & re-embeds what broke.
Runs retrieval tests to confirm the fix landed.
Keeps watching & restarts the loop.
LiveNot a vector database. Not just observability.
Your vector DB stores embeddings. Observability tells you something broke. ChunkFunk does the ongoing maintenance neither was built for.
Holds your embeddings and serves them fast. It doesn't know when a chunk went bad.
Dashboards latency and errors after the fact. It doesn't clean, sort, or repair anything.
Ongoing RAG maintenance: catch the rot, repair the source, verify retrieval, repeat.
Connect a source, and ChunkFunk runs the care cycle for you. No cron jobs, no eval scripts to babysit.
The whole team sees what's stale, what's broken, and what was repaired — in one console, not a Slack thread.
Retrieval tests run on every cycle, so quality drift surfaces as a warning — not a support ticket.
Connect one RAG source and see where the context is already drifting.
For builders running docs, support, or product copilots without a RAG ops team.
For serious builders who want agent actions, BYO Firecrawl, and repair previews.
Connect a source and watch the first care cycle run in minutes.