wiki-ingest: RAG从入门到精通系列1

wiki/entities/BAAI.md

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+---
+title: "BAAI"
+type: entity
+tags: [embedding, open-source, chinese-optimized]
+sources: ["RAG从入门到精通系列1：基础RAG"]
+last_updated: 2026-04-16
+---
+
+## Basic Information
+- **Type**: Embedding Model Series
+- **Source**: RAG从入门到精通系列1：基础RAG
+
+## Definition
+BAAI (Beijing Academy of Artificial Intelligence) provides an open-source series of embedding models (e.g., BAAI/bge series) that convert text into embedding vectors for use in RAG systems.
+
+## Key Models
+- **BAAI BGE Series**: Chinese-optimized open-source embedding models
+- Models can convert text to fixed-length embedding vectors
+- Context Window typically 512~8192 tokens
+
+## Applications
+- [[Embedding]]：BAAI models are used to create embedding vectors
+- [[RAG]]：BAAI embeddings enable semantic search in RAG systems
+
+## Related Concepts
+- [[Embedding]]：The technology BAAI models implement
+- [[向量数据库]]：Where BAAI embeddings are stored