#LangChain4j 0.29.0 is out! 🎉 We have a lot of cool stuff here: 1. #EasyRAG: an easy way to get started with RAG. It can't get any easier! 2. Advanced RAG with @Azure AI Search 3. Seamless integration into @SpringBoot applications 4. Tools/functions support for @MistralAI 5. Integration with @AzureCosmosDB 6. RAG with @Neo4j knowledge graphs 7. Support streaming and native images for @AnthropicAI And much more: github.com/langchain4j/la… A thread 🧵
1. Easy RAG RAG can be hard to understand and implement for beginners. @dandreadis challenged us to make RAG super easy. So, we made it easy! To get started with RAG, you do not have to learn about parsers, splitters, embeddings, and other stuff. Just point to your documents, and #LangChain4j will do its magic to make them accessible to an LLM. More details here: github.com/langchain4j/la… Example: github.com/langchain4j/la…
OK, we weren't completely honest when we said "Easy RAG can't get any easier"🤭 @janmartiska from the @QuarkusIO team went further and made it even easier, great job! More details here: docs.quarkiverse.io/quarkus-langch…