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embedding

Embeddings are numerical representations of data that capture semantic meaning for AI and machine learning systems. They convert data such as text, images, or audio into numerical vectors, allowing AI systems to measure similarity, understand context, and power applications such as semantic search, recommendation systems, clustering, and Retrieval-Augmented Generation (RAG).

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Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

  • Updated Nov 10, 2025
  • Python

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

  • Updated Aug 6, 2026
  • C++