ChinaYiqun/java-rag
This RAG (Retrieval-Augmented Generation) project is implemented using pure Java. This approach makes it easier to adapt to enterprise-level environments and is more conducive to secondary development.
Implements modular RAG pipelines with pluggable components for document parsing (PDF, Word, PPT, Excel), multiple chunking strategies (fixed-size, semantic, recursive), and vector search across Elasticsearch, Redis, and MinIO. Supports both OpenAI and Ollama LLM interfaces with multi-turn conversation management, load balancing, and Agent patterns—all configured via Nacos for enterprise flexibility without framework dependencies.
160 stars. No commits in the last 6 months.
Stars
160
Forks
25
Language
Java
License
Apache-2.0
Category
Last pushed
Feb 26, 2025
Commits (30d)
0
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