Jisr LLM
Cross-Lingual Knowledge Bridge
An innovative framework bridging the digital knowledge divide between English corpora and Arabic applications — unlocking cross-lingual RAG, bilingual reasoning, and high-fidelity Arabic response generation.
Core Architecture Pillars
How Jisr tackles representation bias, semantic drift, and vocabulary mismatch
Cross-Lingual Embedding Alignment
Projects Arabic representations directly into aligned shared semantic space with English corpora.
Cross-Lingual RAG Pipeline
Query in Arabic, retrieve technical documents in English/Arabic, and synthesize grounded responses in natural Arabic.
Dual-Language Chain-of-Thought
Structured multi-step reasoning that mitigates English-skewed LLM bias for complex low-resource Arabic queries.
Morphology-Aware Tokenization
Specialized subword handling targeting rich Arabic morphology and clitics to minimize token fragmentation.
Pipeline Flow
From user query to cross-lingual retrieval and final synthesis
Arabic Input Query
User question in Modern Standard Arabic or dialects
Bridge Embedding Layer
Dense retrieval across dual-language vector indices
Cross-Lingual Reranking
Reranking candidates across language boundaries
Synthesized Response
Synthesized fluent answer with citations and sources
Tech Stack
Python
Core Development
Hugging Face
Model Hub & Tokenizers
Cross-Lingual RAG
Knowledge Bridge
Bilingual Embeddings
Representation Alignment
CoT Reasoning
Bilingual Inference
Vector Database
Semantic Retrieval
Highlights & Applications
Technical QA in Arabic grounded in cutting-edge English documentation
Substantial hallucination reduction through strict citation attribution
Deployable as a high-throughput FastAPI microservice with streaming responses
Full compatibility with top open-source foundations (Llama 3, Qwen 2.5, Mistral)
Explore Jisr LLM
Open-source project built for researchers and developers pushing the frontier of multilingual AI.
View Repository on GitHub