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Docs: The full edition has only two built-in embedding models (#10540)
### What problem does this PR solve? _Briefly describe what this PR aims to solve. Include background context that will help reviewers understand the purpose of the PR._ ### Type of change - [x] Documentation Update
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docs/faq.mdx
16
docs/faq.mdx
@ -40,19 +40,9 @@ Each RAGFlow release is available in two editions:
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RAGFlow offers two Docker image editions, `v0.20.5-slim` and `v0.20.5`:
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- `infiniflow/ragflow:v0.20.5-slim` (default): The RAGFlow Docker image without embedding models.
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- `infiniflow/ragflow:v0.20.5`: The RAGFlow Docker image with embedding models including:
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- Built-in embedding models:
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- `BAAI/bge-large-zh-v1.5`
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- `maidalun1020/bce-embedding-base_v1`
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- Embedding models that will be downloaded once you select them in the RAGFlow UI:
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- `BAAI/bge-base-en-v1.5`
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- `BAAI/bge-large-en-v1.5`
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- `BAAI/bge-small-en-v1.5`
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- `BAAI/bge-small-zh-v1.5`
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- `jinaai/jina-embeddings-v2-base-en`
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- `jinaai/jina-embeddings-v2-small-en`
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- `nomic-ai/nomic-embed-text-v1.5`
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- `sentence-transformers/all-MiniLM-L6-v2`
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- `infiniflow/ragflow:v0.20.5`: The RAGFlow Docker image with the following built-in embedding models:
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- `BAAI/bge-large-zh-v1.5`
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- `maidalun1020/bce-embedding-base_v1`
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---
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@ -580,7 +580,7 @@ Released on September 30, 2024.
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### Compatibility changes
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From this release onwards, RAGFlow offers slim editions of its Docker images to improve the experience for users with limited Internet access. A slim edition of RAGFlow's Docker image does not include built-in BGE/BCE embedding models and has a size of about 1GB; a full edition of RAGFlow is approximately 9GB and includes both built-in embedding models and embedding models that will be downloaded once you select them in the RAGFlow UI.
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From this release onwards, RAGFlow offers slim editions of its Docker images to improve the experience for users with limited Internet access. A slim edition of RAGFlow's Docker image does not include built-in BGE/BCE embedding models and has a size of about 1GB; a full edition of RAGFlow is approximately 9GB and includes two built-in embedding models.
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The default Docker image edition is `nightly-slim`. The following list clarifies the differences between various editions:
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