Concrete, runnable guides for the ways developers actually use ODEN — inside RAG pipelines, agent frameworks and model tool-calling. Each one has copy-paste code against the live /search endpoint.
All guides#
- Build a RAG pipeline with real-time web search — Add real-time web retrieval to a RAG pipeline with ODEN: one call returns context-ready text and citations, so your model answers from the live web.
- Add ODEN web search to LangChain — Wire ODEN into LangChain as a tool or retriever in a few lines: give your agent real-time web search that returns a synthesized answer plus citations.
- OpenAI function calling with web search — Give an OpenAI model real-time web search with ODEN via function calling: define one tool, run the call, and return a synthesized answer with citations.
- Claude tool use with web search — Give Claude real-time web search with ODEN through tool use: define one tool, handle the tool_use block, and return a synthesized answer with citations.
- LlamaIndex web search integration — Add ODEN web search to LlamaIndex as a tool or custom retriever: bring real-time web knowledge, with citations, into your LlamaIndex agents and query engines.
- Add citations to your LLM responses — Make your LLM cite its sources with ODEN: every answer comes with ranked, attributable citations, so you can show users where each claim came from.
- GDPR-compliant web search API for the EU AI Act — ODEN is an EU-hosted web search API that honors robots.txt and the DSM Article 4 TDM opt-out, helping your AI application meet GDPR and EU AI Act expectations.
New to ODEN?#
Every guide assumes you have a key and have made one call. If not, start with the quickstart — it takes five minutes — then come back and wire ODEN into your stack.