From c4b8e4845c825d2d118ca2555ed8cf06494a80d3 Mon Sep 17 00:00:00 2001 From: writinwaters <93570324+writinwaters@users.noreply.github.com> Date: Tue, 14 Oct 2025 14:13:37 +0800 Subject: [PATCH] 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 --- docs/faq.mdx | 16 +++------------- docs/release_notes.md | 2 +- 2 files changed, 4 insertions(+), 14 deletions(-) diff --git a/docs/faq.mdx b/docs/faq.mdx index a9bdf0cb1..c4facad33 100644 --- a/docs/faq.mdx +++ b/docs/faq.mdx @@ -40,19 +40,9 @@ Each RAGFlow release is available in two editions: RAGFlow offers two Docker image editions, `v0.20.5-slim` and `v0.20.5`: - `infiniflow/ragflow:v0.20.5-slim` (default): The RAGFlow Docker image without embedding models. -- `infiniflow/ragflow:v0.20.5`: The RAGFlow Docker image with embedding models including: - - Built-in embedding models: - - `BAAI/bge-large-zh-v1.5` - - `maidalun1020/bce-embedding-base_v1` - - Embedding models that will be downloaded once you select them in the RAGFlow UI: - - `BAAI/bge-base-en-v1.5` - - `BAAI/bge-large-en-v1.5` - - `BAAI/bge-small-en-v1.5` - - `BAAI/bge-small-zh-v1.5` - - `jinaai/jina-embeddings-v2-base-en` - - `jinaai/jina-embeddings-v2-small-en` - - `nomic-ai/nomic-embed-text-v1.5` - - `sentence-transformers/all-MiniLM-L6-v2` +- `infiniflow/ragflow:v0.20.5`: The RAGFlow Docker image with the following built-in embedding models: + - `BAAI/bge-large-zh-v1.5` + - `maidalun1020/bce-embedding-base_v1` --- diff --git a/docs/release_notes.md b/docs/release_notes.md index b19f9f720..4e9468bd5 100644 --- a/docs/release_notes.md +++ b/docs/release_notes.md @@ -580,7 +580,7 @@ Released on September 30, 2024. ### Compatibility changes -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. +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. The default Docker image edition is `nightly-slim`. The following list clarifies the differences between various editions: