@langchain4j.dev
Effortlessly build LLM-powered applications in Java, including chatbots, agents, structured data extraction and RAG: https://github.com/langchain4j/langchain4j
@langchain4j.dev#LangChain4j 1.22.0 is out!
Highlights:
- OpenAI Decisions API support
- AWS Bedrock batch inference
- Automatic prompt caching for Anthropic
Thanks to all contributors!
github.com/langchain4j/...
@lomagnette.bsky.socialReposted by @langchain4j.devDay one of @devoxx.com done, and my first deep dive on @langchain4j.dev and agentic patterns is in the books. Building agents in #Java, with real code, is pure developer bliss.
Now time to enjoy the day. Tonight: our @bejug.bsky.social BOF. Java friends, come say hi!
@langchain4j.dev#LangChain4j 1.21.0 is out! 🚀
Meet Decision Models: instant yes/no, choice and scale answers with probabilities.
Decision Services turn any Java interface into a classifier.
Plus model routing, re-ranking, tool selection, guardrails and agentic routing!
@langchain4j.dev#LangChain4j 1.20.0 is out!
Headline features: async/reactive AI Services, and opt-in Jackson 3.
@rabauer.devReposted by @langchain4j.devJava plus a real AI model, built with @langchain4j.dev, plus deploying to @azure.microsoft.com. Sounds like a whole day gone before lunch. Today @bbenz.bsky.social and I find out live, no prep hidden off-screen.
youtube.com/live/TI7_Wz5...
#Java #AI #AzureAIFoundry
@langchain4j.dev#LangChain4j 1.5.0 is out! 🎉
This release includes the #MCP registry client, enhancements to the #Agentic module, as well as improvements in multimodality and caching
