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Building the foundation for better search with embeddings, rerankers, RAG infrastructure, and small language models.

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KaLM-Embedding: Building the foundation for better search with embeddings, rerankers, RAG infrastructure, and small language models.

Lychee-KaLM develops embedding models, rerankers, RAG infra, and small language models for better search. We aim to develop efficient and accessible systems that help people discover, retrieve, and use knowledge more effectively.

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🌐 KaLM-Embedding Homepage · 💻 GitHub · 🗂️ Embedding Training Data · 🗂️ Reranker Training Data · 📖 Text Embedding Survey · 📚 LMEB Benchmark · 🏆 LMEB Leaderboard · 🔎 KaLM-Embedding Demo · ⚡ KaLM-Reranker Demo