Blog
Release notes, roadmap updates, and engineering notes from the Camel team and community.
Chaos in Camel 4.24: break your routes on purpose, before production does
Camel has had redelivery, the dead letter channel and the circuit breaker for many years. But how do you know they work, before production tells you? Camel 4.24 brings camel-chaos: …
Document Ingestion for RAG in Camel 4.23: From Folder to Vector Store
Camel 4.23 adds the langchain4j-ingest component and four ingestion Kamelets. Turn a folder, an S3 bucket or a Kafka topic into a RAG knowledge base of documents, images, audio or …
Building an Agentic RAG Application with Apache Camel and LangChain4j
Explore how Apache Camel components connect LangChain4j agents, Milvus vector search, and web search to build an Agentic RAG application for historical incident investigation.
Round 4: making Camel work for any AI model, now with intermediate examples
The fourth round of our work to make Camel easy to use for any AI model, and especially for models small enough to run on a laptop or a mini PC. We moved on to intermediate …
Apache Camel security advisories: 38 CVEs fixed in 4.18.5, 4.22.1 and 4.23.0
We have published 38 security advisories for Apache Camel. All of them are fixed in Camel 4.18.5, 4.22.1 and 4.23.0, and we recommend upgrading.
Camel Integration Testing Pitfalls
Your integration tests keep failing for non-obvious reasons — or worse, they pass when they shouldn't. The root cause may not be the test itself but Camel routes that got trapped …
Apache Camel 4.23 What's New
Details of what we have done in the Camel 4.23 release.
Fast and easy integration testing with the Camel CLI Test Plugin
Write integration tests in YAML alongside your Camel routes — no Java, no Maven, no build configuration. Start infrastructure, send Kafka messages, call REST endpoints, verify …
Talk to Your CRM: Connecting Local AI to Business Systems with Apache Camel and MCP
What if looking up customer history and recording follow-ups were as easy as a conversation? See how Apache Camel exposes three CRM operations to a local LLM through MCP.
Round 3: making Kamelets AI-ready
A local model knows Camel's components from memory, but hardly knows Kamelets. Once Camel's catalog tools and validator knew them too, Kamelets went from 1 of 15 steps to 47 of 50, …