shubham0204/OnDevice-RAG-Android
A custom RAG pipeline for multi-document QA from PDF/DOCX documents, in Android
Combines on-device embeddings (all-MiniLM-L6-v2), vector storage via ObjectBox, and custom whitespace-based text chunking with configurable overlap, enabling fully local RAG without cloud dependencies. Supports both remote inference (Gemini API) and local LLM execution via MediaPipe's GenAI API, with models downloadable from HuggingFace's litert-community. Built with modern Android architecture patterns and integrates Apache POI and iTextPDF for multi-format document parsing.
178 stars.
Stars
178
Forks
21
Language
Kotlin
License
Apache-2.0
Category
Last pushed
Jan 03, 2026
Commits (30d)
0
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