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multilingual
hamzi275/multilingual
multilingual is a question answering model from hamzi275. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
This model is designed for cross-lingual question answering using Retrieval-Augmented Generation (RAG). It can take documents in multiple languages — Urdu, Hindi, Spanish, English — and answer in the same or different…
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Public
Updated Aug 12, 2025
Repo size
10.2 GB
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Aug 12, 2025
- Updated
- Aug 12, 2025
- SHA
- 6142d692
Try a prompt
Model card
From the Hugging Face model README
Multilingual Knowledge RAG Bot – Cross-Lingual Retrieval-Augmented Generation
This model is designed for cross-lingual question answering using Retrieval-Augmented Generation (RAG).
It can take documents in multiple languages — Urdu, Hindi, Spanish, English — and answer in the same or different language.
Key Features
- LLM Used: Meta-Llama-3-8B-Instruct
- Embedding Model:
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 - RAG Pipeline: FAISS-based vector search + context injection
- Training/Processing: Implemented entirely in Google Colab using open-source tools only
- Zero paid APIs — 100% free and deployable
Techniques Used
- Vector Database: FAISS for similarity search
- Cross-Lingual Embeddings: multilingual sentence transformers
- Prompt Engineering: Context-aware question answering
- Open-Source Deployment Ready: Hugging Face Spaces compatible
License
Apache-2.0
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Languages
- en, ur, hi, es
- Created
- Aug 12, 2025
- Updated
- Aug 12, 2025