RAG models depend on accurate, up-to-date information. Decodo ensures your data ingestion layer is structured, refreshed, and never blocked by technical barriers.
Stream real-time content to your vector DB
Continuously gather fresh pages, articles, listings, reviews, and documentation.
Parse cleanly for embedding
AI Parser removes layout noise and outputs JSON/Markdown perfect for embedding.
Connect to your entire RAG stack
Supports LangChain, LlamaIndex, Pinecone, Qdrant, Weaviate, pgvector, and more.
Stop worrying about infra
We handle proxies, rotations, retries, fingerprinting, and JS rendering for you.
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Integrate your RAG system in minutes
Plug Decodo into your retrieval workflow with prebuilt integrations.
Explore products built for massive data operations
Choose the right mix of Decodo products for your scale, budget, and target complexity.
Proxies
Scraping
What is a proxy?
A proxy acts as an intermediary between your device and the internet. As traffic is routed through alternative IPs, you’re avoiding geo-restrictions, CAPTCHAs, and IP blocks, unlocking access to any target with maximum anonymity.
Residential proxies
from $1.5/GB
Real household IP addresses connected to local networks, offering genuine residential locations and user-like behavior. Learn more
Decodo handles the data ingestion layer of RAG. We help you continuously collect fresh, public web data, bypass blocks and CAPTCHAs, and transform raw HTML into structured formats that can be indexed in vector databases and retrieved by LLMs at inference time.
Can I use Decodo for real-time or continuously updated RAG systems?
Yes. Decodo is built for continuous retrieval workflows. You can schedule recurring scrapes, stream updates, or trigger refreshes via n8n, LangChain, or MCP Server to keep your knowledge base current without manual intervention.
What data formats does Decodo support for RAG?
You can retrieve data as HTML, JSON, Markdown, or parsed JSON via AI Parser. This makes it easy to chunk, embed, and index content into vector databases like Pinecone, Weaviate, Qdrant, or internal storage systems.
Start Delivering Accurate, Grounded Model Outputs
Power your RAG system with structured, fresh data – without maintaining any infrastructure.