RAG pipeline proxy for continuous retrieval ingest
A retrieval-augmented pipeline is never really done crawling. Knowledge bases go stale, so refresh jobs run on a schedule and pull the same sources again and again at high concurrency. That repeated, high-volume access is exactly what rate limiters are built to punish. A RAG pipeline proxy keeps the ingest moving, so your index stays current instead of decaying into outdated chunks.
Refresh jobs decay when exits get blocked
Repeated, scheduled access to the same sources is the pattern rate limiters punish hardest. Dedicated carrier IPs that hold until you rotate keep each re-crawl looking like a returning client, so your index stays fresh instead of filling with CAPTCHA walls.
One dedicated proxy per knowledge-base partition
Assign one dedicated proxy per partition or per source domain; its IP holds until you rotate it. Cookies, rate-limit budgets, and session state stay attached to a single exit, so a re-crawl of the same source looks like the same returning client every run. That reproducibility matters: it keeps your refresh diffs clean and avoids the cold-start blocks you get from hitting a site with a brand-new IP every cycle.
Built for high concurrency
Continuous ingest fans out across many sources at once. The proxy layer absorbs that parallelism with automatic backoff on 429/503 and per-IP cookie jars, so one slow source does not stall the whole pipeline. Spread ingest workers across several dedicated IPs and let healthy exits carry the rest of the queue.
Fits your retrieval stack
LangChain, LlamaIndex, or a custom retriever — the proxy is just the egress in front of your loaders. Fetch the page, chunk it, embed it, and upsert into your vector store. Because exits are stable, the document you embedded yesterday is the document you re-embed today, not a CAPTCHA wall masquerading as content.
Fresh grounding without bans
Live grounding lookups — the kind where your model fetches a source at query time — need exits that respond now, not after three retries. Low-latency mobile IPs keep grounding fast and keep your generated answers anchored to real, current pages instead of cached staleness.
Built for continuous ingest
Per-partition IP
One dedicated proxy per KB namespace keeps cookies and rate-limit budgets coherent across refresh cycles.
Concurrency absorption
Backoff on 429/503 + per-IP cookie jars so one slow source never stalls the parallel ingest queue.
Stack-agnostic egress
Drop the endpoint in front of LangChain or LlamaIndex loaders — fetch, chunk, embed, upsert unchanged.
Low-latency grounding
Fast carrier exits keep query-time source lookups anchored to current pages, not cached staleness.
Ingest pipeline at a glance
RAG pipeline proxy — questions
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Power your RAG ingest
Sizing the ingest pool
Running scheduled refresh across many namespaces? Check the pricing for per-IP rates, then create an account and bind your first partition exit in under 90 seconds.
Pull a sample dataset, free
Run one real mobile IP for an hour with no card. Point your crawler or agent at the source, watch the data come back clean, then move to a plan.