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.
This helps Java developers build custom AI applications that can understand and respond to user queries based on specific internal documents. It takes various document types (PDFs, Word, Excel, etc.) and user questions, then uses large language models to provide accurate, context-aware answers. Developers create these applications for enterprise users who need to quickly find information within their company's extensive knowledge base.
160 stars. No commits in the last 6 months.
Use this if you are a Java developer building a Retrieval-Augmented Generation (RAG) system for an enterprise, and you need fine-grained control over document processing, vectorization, and search strategies without relying on complex frameworks.
Not ideal if you are an end-user looking for a pre-built, ready-to-use RAG application, or if you prefer a low-code/no-code solution.
Stars
160
Forks
25
Language
Java
License
Apache-2.0
Category
Last pushed
Feb 26, 2025
Commits (30d)
0
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