diff --git "a/frameworks/llama_index/0.14.15/0.14.15\346\265\213\350\257\225\347\273\223\346\236\234\346\210\252\345\233\276" "b/frameworks/llama_index/0.14.15/0.14.15\346\265\213\350\257\225\347\273\223\346\236\234\346\210\252\345\233\276"
new file mode 100644
index 0000000000000000000000000000000000000000..12a3c0b943e5e604e012ee8e7729de703174ce99
Binary files /dev/null and "b/frameworks/llama_index/0.14.15/0.14.15\346\265\213\350\257\225\347\273\223\346\236\234\346\210\252\345\233\276" differ
diff --git a/frameworks/llama_index/0.14.15/Dockerfile b/frameworks/llama_index/0.14.15/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..23b8e8434081f280f36072b877135edfe6038fda
--- /dev/null
+++ b/frameworks/llama_index/0.14.15/Dockerfile
@@ -0,0 +1,19 @@
+FROM opencloudos/opencloudos9-minimal:latest
+
+LABEL maintainer="pangxb666"
+LABEL org.opencontainers.image.source="https://gitee.com/OpenCloudOS/ai-agent-container"
+LABEL org.opencontainers.image.description="LlamaIndex 0.14.15 on OpenCloudOS 9"
+
+RUN dnf install -y \
+    python3.11 \
+    python3.11-pip \
+    && dnf clean all \
+    && rm -rf /var/cache/yum/*
+
+RUN pip3.11 install --no-cache-dir llama-index==0.14.15 llama-index-core==0.14.15 \
+    -i https://pypi.tuna.tsinghua.edu.cn/simple \
+    --trusted-host pypi.tuna.tsinghua.edu.cn
+
+RUN echo $(date +"%Y-%m-%dT%H:%M:%S%z") > /opencloudos_build_date.txt
+
+CMD ["python3.11"]
diff --git a/frameworks/llama_index/0.14.15/README.md b/frameworks/llama_index/0.14.15/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..2d99e2d39e34f6865ddc182165293aee97da6e8b
--- /dev/null
+++ b/frameworks/llama_index/0.14.15/README.md
@@ -0,0 +1,33 @@
+# LlamaIndex 0.14.15 on OpenCloudOS 9
+
+## 基本信息
+
+- **框架版本**：0.14.15
+- **基础镜像**：opencloudos/opencloudos9-minimal:latest
+- **Python 版本**：3.11
+- **CUDA 版本**：N/A
+- **开源地址**：https://github.com/run-llama/llama_index
+
+## 简介
+
+LlamaIndex 是一个面向 LLM 应用的数据框架，提供数据摄取、索引和查询等核心能力，帮助开发者快速构建基于私有数据的 RAG（检索增强生成）应用。
+
+## 构建
+
+```bash
+docker build -t oc9-llama_index:0.14.15 .
+```
+
+## 使用示例
+
+```bash
+# 验证版本
+docker run --rm oc9-llama_index:0.14.15 python3.11 -c "import importlib.metadata; print(importlib.metadata.version('llama-index-core'))"
+
+# 运行基础测试
+docker run --rm oc9-llama_index:0.14.15 bash /test.sh
+```
+
+## 已知问题
+
+无
diff --git a/frameworks/llama_index/0.14.15/build.conf b/frameworks/llama_index/0.14.15/build.conf
new file mode 100644
index 0000000000000000000000000000000000000000..760a744bec6101137face13d81fe7843568bc6e4
--- /dev/null
+++ b/frameworks/llama_index/0.14.15/build.conf
@@ -0,0 +1,4 @@
+# llama_index 0.14.15 on OpenCloudOS 9
+IMAGE_NAME=oc9-llama-index
+IMAGE_TAG=0.14.15
+GPU_TEST=false
diff --git a/frameworks/llama_index/0.14.15/test.sh b/frameworks/llama_index/0.14.15/test.sh
new file mode 100644
index 0000000000000000000000000000000000000000..cc0bb45bf4ae1db21f713aad9aaa0c56abaf46f7
--- /dev/null
+++ b/frameworks/llama_index/0.14.15/test.sh
@@ -0,0 +1,45 @@
+#!/bin/bash
+set -e
+
+IMAGE="${1:?ERROR: 缺少镜像参数。用法: bash test.sh <image:tag>}"
+
+echo "=== LlamaIndex 0.14.15 基础功能测试 ==="
+
+# 1. 验证版本
+echo -n "检查 llama-index-core 版本... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+import importlib.metadata
+version = importlib.metadata.version('llama-index-core')
+print(version)
+assert version == '0.14.15', f'期望 0.14.15，实际 {version}'
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 2. 验证核心模块导入
+echo -n "检查 llama_index.core 导入... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+from llama_index.core import VectorStoreIndex, Document, Settings
+print('核心模块导入正常')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 3. 验证 Document 创建
+echo -n "检查 Document 创建... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+from llama_index.core import Document
+doc = Document(text='OpenCloudOS 9 LlamaIndex 测试文档')
+assert doc.text == 'OpenCloudOS 9 LlamaIndex 测试文档'
+print('Document 创建成功')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 4. 验证 Node 解析器
+echo -n "检查 SentenceSplitter... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+from llama_index.core.node_parser import SentenceSplitter
+from llama_index.core import Document
+splitter = SentenceSplitter(chunk_size=512, chunk_overlap=20)
+doc = Document(text='LlamaIndex 是一个面向 LLM 应用的数据框架，提供数据摄取、索引和查询等核心能力。')
+nodes = splitter.get_nodes_from_documents([doc])
+assert len(nodes) > 0
+print(f'节点数量: {len(nodes)}')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+echo "=== 所有测试通过 ==="
diff --git a/frameworks/llama_index/0.14.16/.DS_Store b/frameworks/llama_index/0.14.16/.DS_Store
new file mode 100644
index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6
Binary files /dev/null and b/frameworks/llama_index/0.14.16/.DS_Store differ
diff --git "a/frameworks/llama_index/0.14.16/0.14.16\346\265\213\350\257\225\347\273\223\346\236\234\346\210\252\345\233\276" "b/frameworks/llama_index/0.14.16/0.14.16\346\265\213\350\257\225\347\273\223\346\236\234\346\210\252\345\233\276"
new file mode 100644
index 0000000000000000000000000000000000000000..640c46ddd9e16afd6a2b2f0fef2709ba90848bf6
Binary files /dev/null and "b/frameworks/llama_index/0.14.16/0.14.16\346\265\213\350\257\225\347\273\223\346\236\234\346\210\252\345\233\276" differ
diff --git a/frameworks/llama_index/0.14.16/Dockerfile b/frameworks/llama_index/0.14.16/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..3b0b5c3f2cf849ec26cef0885643bc159e9d93e0
--- /dev/null
+++ b/frameworks/llama_index/0.14.16/Dockerfile
@@ -0,0 +1,25 @@
+# 基础镜像：OpenCloudOS 9 极简版，适用于纯 Python / CPU 框架
+FROM opencloudos/opencloudos9-minimal:latest
+
+# 镜像元信息
+LABEL maintainer="pangxb666"
+LABEL org.opencontainers.image.source="https://gitee.com/OpenCloudOS/ai-agent-container"
+LABEL org.opencontainers.image.description="LlamaIndex 0.14.16 on OpenCloudOS 9"
+
+# 安装 Python 3.11 及 pip，安装完成后清理缓存以减小镜像体积
+RUN dnf install -y \
+    python3.11 \
+    python3.11-pip \
+    && dnf clean all \
+    && rm -rf /var/cache/yum/*
+
+# 使用清华镜像源安装 LlamaIndex，加速国内网络下的依赖下载
+RUN pip3.11 install --no-cache-dir llama-index==0.14.16 llama-index-core==0.14.16 \
+    -i https://pypi.tuna.tsinghua.edu.cn/simple \
+    --trusted-host pypi.tuna.tsinghua.edu.cn
+
+# 记录镜像构建时间，便于追溯
+RUN echo $(date +"%Y-%m-%dT%H:%M:%S%z") > /opencloudos_build_date.txt
+
+# 默认进入 Python 3.11 交互环境
+CMD ["python3.11"]
diff --git a/frameworks/llama_index/0.14.16/README.md b/frameworks/llama_index/0.14.16/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..2730db9dd80c5dc779c064fd4b6bd7821c3bb0c2
--- /dev/null
+++ b/frameworks/llama_index/0.14.16/README.md
@@ -0,0 +1,33 @@
+# LlamaIndex 0.14.16 on OpenCloudOS 9
+
+## 基本信息
+
+- **框架版本**：0.14.16
+- **基础镜像**：opencloudos/opencloudos9-minimal:latest
+- **Python 版本**：3.11
+- **CUDA 版本**：N/A
+- **开源地址**：https://github.com/run-llama/llama_index
+
+## 简介
+
+LlamaIndex 是一个用于构建 LLM 驱动应用的数据框架，提供数据摄取、索引、查询等核心能力，支持 RAG（检索增强生成）等场景。
+
+## 构建
+
+```bash
+docker build -t oc9-llama_index:0.14.16 .
+```
+
+## 使用示例
+
+```bash
+# 验证版本
+docker run --rm oc9-llama_index:0.14.16 python3.11 -c "import importlib.metadata; print(importlib.metadata.version('llama-index'))"
+
+# 运行基础测试
+docker run --rm oc9-llama_index:0.14.16 bash /test.sh
+```
+
+## 已知问题
+
+无
diff --git a/frameworks/llama_index/0.14.16/build.conf b/frameworks/llama_index/0.14.16/build.conf
new file mode 100644
index 0000000000000000000000000000000000000000..4cd74afdc9d7c6ccd3198e9389e7fc8c9b398111
--- /dev/null
+++ b/frameworks/llama_index/0.14.16/build.conf
@@ -0,0 +1,4 @@
+# llama_index 0.14.16 on OpenCloudOS 9
+IMAGE_NAME=oc9-llama-index
+IMAGE_TAG=0.14.16
+GPU_TEST=false
diff --git a/frameworks/llama_index/0.14.16/test.sh b/frameworks/llama_index/0.14.16/test.sh
new file mode 100644
index 0000000000000000000000000000000000000000..adabffcfc549674d3f50ded34f6693e7a0ad09a1
--- /dev/null
+++ b/frameworks/llama_index/0.14.16/test.sh
@@ -0,0 +1,39 @@
+#!/bin/bash
+set -e
+
+IMAGE="${1:?ERROR: 缺少镜像参数。用法: bash test.sh <image:tag>}"
+
+echo "=== LlamaIndex 0.14.16 基础功能测试 ==="
+
+# 1. 验证 llama-index 可正常导入并检查版本
+echo -n "检查 import llama_index... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+import importlib.metadata
+print(importlib.metadata.version('llama-index-core'))
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 2. 验证 Document 核心对象创建
+echo -n "检查 Document 对象创建... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+from llama_index.core import Document
+
+doc = Document(text='LlamaIndex 是一个用于 LLM 应用的数据框架')
+assert doc.text == 'LlamaIndex 是一个用于 LLM 应用的数据框架'
+assert doc.doc_id is not None
+print(f'Document 创建成功，id={doc.doc_id[:8]}...')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 3. 验证 SentenceSplitter 文本分割
+echo -n "检查 SentenceSplitter 文本分割... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+from llama_index.core.node_parser import SentenceSplitter
+from llama_index.core import Document
+
+splitter = SentenceSplitter(chunk_size=100, chunk_overlap=10)
+doc = Document(text='This is a test sentence. ' * 20)
+nodes = splitter.get_nodes_from_documents([doc])
+assert len(nodes) > 0, '文本分割应产生至少一个节点'
+print(f'分割产生 {len(nodes)} 个节点')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+echo "=== 所有测试通过 ==="
diff --git "a/frameworks/llama_index/0.14.18/0.14.18\346\265\213\350\257\225\347\273\223\346\236\234\346\210\252\345\233\276" "b/frameworks/llama_index/0.14.18/0.14.18\346\265\213\350\257\225\347\273\223\346\236\234\346\210\252\345\233\276"
new file mode 100644
index 0000000000000000000000000000000000000000..67425a5e30e64d37ccf4d0298861ac57ec5c1c19
Binary files /dev/null and "b/frameworks/llama_index/0.14.18/0.14.18\346\265\213\350\257\225\347\273\223\346\236\234\346\210\252\345\233\276" differ
diff --git a/frameworks/llama_index/0.14.18/Dockerfile b/frameworks/llama_index/0.14.18/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..1f068cc16885d8384ad57388914c70b29349fac5
--- /dev/null
+++ b/frameworks/llama_index/0.14.18/Dockerfile
@@ -0,0 +1,25 @@
+# 基础镜像：OpenCloudOS 9 极简版，适用于纯 Python / CPU 框架
+FROM opencloudos/opencloudos9-minimal:latest
+
+# 镜像元信息
+LABEL maintainer="pangxb666"
+LABEL org.opencontainers.image.source="https://gitee.com/OpenCloudOS/ai-agent-container"
+LABEL org.opencontainers.image.description="LlamaIndex 0.14.18 on OpenCloudOS 9"
+
+# 安装 Python 3.11 及 pip，安装完成后清理缓存以减小镜像体积
+RUN dnf install -y \
+    python3.11 \
+    python3.11-pip \
+    && dnf clean all \
+    && rm -rf /var/cache/yum/*
+
+# 使用清华镜像源安装 LlamaIndex，加速国内网络下的依赖下载
+RUN pip3.11 install --no-cache-dir llama-index==0.14.18 llama-index-core==0.14.18 \
+    -i https://pypi.tuna.tsinghua.edu.cn/simple \
+    --trusted-host pypi.tuna.tsinghua.edu.cn
+
+# 记录镜像构建时间，便于追溯
+RUN echo $(date +"%Y-%m-%dT%H:%M:%S%z") > /opencloudos_build_date.txt
+
+# 默认进入 Python 3.11 交互环境
+CMD ["python3.11"]
diff --git a/frameworks/llama_index/0.14.18/README.md b/frameworks/llama_index/0.14.18/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..1d65d051db5cf8434168d87a350332ec6f7b11e0
--- /dev/null
+++ b/frameworks/llama_index/0.14.18/README.md
@@ -0,0 +1,33 @@
+# LlamaIndex 0.14.18 on OpenCloudOS 9
+
+## 基本信息
+
+- **框架版本**：0.14.18
+- **基础镜像**：opencloudos/opencloudos9-minimal:latest
+- **Python 版本**：3.11
+- **CUDA 版本**：N/A
+- **开源地址**：https://github.com/run-llama/llama_index
+
+## 简介
+
+LlamaIndex 是一个用于构建 LLM 驱动应用的数据框架，提供数据摄取、索引、查询等核心能力，支持 RAG（检索增强生成）等场景。
+
+## 构建
+
+```bash
+docker build -t oc9-llama_index:0.14.18 .
+```
+
+## 使用示例
+
+```bash
+# 验证版本
+docker run --rm oc9-llama_index:0.14.18 python3.11 -c "import importlib.metadata; print(importlib.metadata.version('llama-index'))"
+
+# 运行基础测试
+docker run --rm oc9-llama_index:0.14.18 bash /test.sh
+```
+
+## 已知问题
+
+无
diff --git a/frameworks/llama_index/0.14.18/build.conf b/frameworks/llama_index/0.14.18/build.conf
new file mode 100644
index 0000000000000000000000000000000000000000..6110ae35adac97801ecaf7885c2f389a0bba8794
--- /dev/null
+++ b/frameworks/llama_index/0.14.18/build.conf
@@ -0,0 +1,4 @@
+# llama_index 0.14.18 on OpenCloudOS 9
+IMAGE_NAME=oc9-llama-index
+IMAGE_TAG=0.14.18
+GPU_TEST=false
diff --git a/frameworks/llama_index/0.14.18/test.sh b/frameworks/llama_index/0.14.18/test.sh
new file mode 100644
index 0000000000000000000000000000000000000000..1270c95c3bf2ecc0f1792af269e001b44602d21a
--- /dev/null
+++ b/frameworks/llama_index/0.14.18/test.sh
@@ -0,0 +1,39 @@
+#!/bin/bash
+set -e
+
+IMAGE="${1:?ERROR: 缺少镜像参数。用法: bash test.sh <image:tag>}"
+
+echo "=== LlamaIndex 0.14.18 基础功能测试 ==="
+
+# 1. 验证 llama-index 可正常导入并检查版本
+echo -n "检查 import llama_index... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+import importlib.metadata
+print(importlib.metadata.version('llama-index-core'))
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 2. 验证 Document 核心对象创建
+echo -n "检查 Document 对象创建... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+from llama_index.core import Document
+
+doc = Document(text='LlamaIndex 是一个用于 LLM 应用的数据框架')
+assert doc.text == 'LlamaIndex 是一个用于 LLM 应用的数据框架'
+assert doc.doc_id is not None
+print(f'Document 创建成功，id={doc.doc_id[:8]}...')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 3. 验证 SentenceSplitter 文本分割
+echo -n "检查 SentenceSplitter 文本分割... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+from llama_index.core.node_parser import SentenceSplitter
+from llama_index.core import Document
+
+splitter = SentenceSplitter(chunk_size=100, chunk_overlap=10)
+doc = Document(text='This is a test sentence. ' * 20)
+nodes = splitter.get_nodes_from_documents([doc])
+assert len(nodes) > 0, '文本分割应产生至少一个节点'
+print(f'分割产生 {len(nodes)} 个节点')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+echo "=== 所有测试通过 ==="
diff --git "a/frameworks/llama_index/0.14.19/0.14.19\346\265\213\350\257\225\347\273\223\346\236\234\346\210\252\345\233\276" "b/frameworks/llama_index/0.14.19/0.14.19\346\265\213\350\257\225\347\273\223\346\236\234\346\210\252\345\233\276"
new file mode 100644
index 0000000000000000000000000000000000000000..dbb774a7ae3776f50b665ba49950246ed8e1b2b2
Binary files /dev/null and "b/frameworks/llama_index/0.14.19/0.14.19\346\265\213\350\257\225\347\273\223\346\236\234\346\210\252\345\233\276" differ
diff --git a/frameworks/llama_index/0.14.19/Dockerfile b/frameworks/llama_index/0.14.19/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..0ca2c99267589a5d3cfa276a3936c9f2ffcb10c4
--- /dev/null
+++ b/frameworks/llama_index/0.14.19/Dockerfile
@@ -0,0 +1,25 @@
+# 基础镜像：OpenCloudOS 9 极简版，适用于纯 Python / CPU 框架
+FROM opencloudos/opencloudos9-minimal:latest
+
+# 镜像元信息
+LABEL maintainer="pangxb666"
+LABEL org.opencontainers.image.source="https://gitee.com/OpenCloudOS/ai-agent-container"
+LABEL org.opencontainers.image.description="LlamaIndex 0.14.19 on OpenCloudOS 9"
+
+# 安装 Python 3.11 及 pip，安装完成后清理缓存以减小镜像体积
+RUN dnf install -y \
+    python3.11 \
+    python3.11-pip \
+    && dnf clean all \
+    && rm -rf /var/cache/yum/*
+
+# 使用清华镜像源安装 LlamaIndex，加速国内网络下的依赖下载
+RUN pip3.11 install --no-cache-dir llama-index==0.14.19 llama-index-core==0.14.19 \
+    -i https://pypi.tuna.tsinghua.edu.cn/simple \
+    --trusted-host pypi.tuna.tsinghua.edu.cn
+
+# 记录镜像构建时间，便于追溯
+RUN echo $(date +"%Y-%m-%dT%H:%M:%S%z") > /opencloudos_build_date.txt
+
+# 默认进入 Python 3.11 交互环境
+CMD ["python3.11"]
diff --git a/frameworks/llama_index/0.14.19/README.md b/frameworks/llama_index/0.14.19/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..7ff1615aa1beafb139d364c48d833cc831095819
--- /dev/null
+++ b/frameworks/llama_index/0.14.19/README.md
@@ -0,0 +1,33 @@
+# LlamaIndex 0.14.19 on OpenCloudOS 9
+
+## 基本信息
+
+- **框架版本**：0.14.19
+- **基础镜像**：opencloudos/opencloudos9-minimal:latest
+- **Python 版本**：3.11
+- **CUDA 版本**：N/A
+- **开源地址**：https://github.com/run-llama/llama_index
+
+## 简介
+
+LlamaIndex 是一个用于构建 LLM 驱动应用的数据框架，提供数据摄取、索引、查询等核心能力，支持 RAG（检索增强生成）等场景。
+
+## 构建
+
+```bash
+docker build -t oc9-llama_index:0.14.19 .
+```
+
+## 使用示例
+
+```bash
+# 验证版本
+docker run --rm oc9-llama_index:0.14.19 python3.11 -c "import importlib.metadata; print(importlib.metadata.version('llama-index'))"
+
+# 运行基础测试
+docker run --rm oc9-llama_index:0.14.19 bash /test.sh
+```
+
+## 已知问题
+
+无
diff --git a/frameworks/llama_index/0.14.19/build.conf b/frameworks/llama_index/0.14.19/build.conf
new file mode 100644
index 0000000000000000000000000000000000000000..6968592d9969657f2137b7662d947e4e8711b907
--- /dev/null
+++ b/frameworks/llama_index/0.14.19/build.conf
@@ -0,0 +1,4 @@
+# llama_index 0.14.19 on OpenCloudOS 9
+IMAGE_NAME=oc9-llama-index
+IMAGE_TAG=0.14.19
+GPU_TEST=false
diff --git a/frameworks/llama_index/0.14.19/test.sh b/frameworks/llama_index/0.14.19/test.sh
new file mode 100644
index 0000000000000000000000000000000000000000..56b8bc241cba560667b696861dce0efab2ad28cb
--- /dev/null
+++ b/frameworks/llama_index/0.14.19/test.sh
@@ -0,0 +1,39 @@
+#!/bin/bash
+set -e
+
+IMAGE="${1:?ERROR: 缺少镜像参数。用法: bash test.sh <image:tag>}"
+
+echo "=== LlamaIndex 0.14.19 基础功能测试 ==="
+
+# 1. 验证 llama-index 可正常导入并检查版本
+echo -n "检查 import llama_index... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+import importlib.metadata
+print(importlib.metadata.version('llama-index-core'))
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 2. 验证 Document 核心对象创建
+echo -n "检查 Document 对象创建... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+from llama_index.core import Document
+
+doc = Document(text='LlamaIndex 是一个用于 LLM 应用的数据框架')
+assert doc.text == 'LlamaIndex 是一个用于 LLM 应用的数据框架'
+assert doc.doc_id is not None
+print(f'Document 创建成功，id={doc.doc_id[:8]}...')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 3. 验证 SentenceSplitter 文本分割
+echo -n "检查 SentenceSplitter 文本分割... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+from llama_index.core.node_parser import SentenceSplitter
+from llama_index.core import Document
+
+splitter = SentenceSplitter(chunk_size=100, chunk_overlap=10)
+doc = Document(text='This is a test sentence. ' * 20)
+nodes = splitter.get_nodes_from_documents([doc])
+assert len(nodes) > 0, '文本分割应产生至少一个节点'
+print(f'分割产生 {len(nodes)} 个节点')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+echo "=== 所有测试通过 ==="
diff --git "a/frameworks/llama_index/0.14.20/0.14.20\346\265\213\350\257\225\347\273\223\346\236\234\346\210\252\345\233\276" "b/frameworks/llama_index/0.14.20/0.14.20\346\265\213\350\257\225\347\273\223\346\236\234\346\210\252\345\233\276"
new file mode 100644
index 0000000000000000000000000000000000000000..9a3d3496b4f7b6cd34a5386f8f4a1c0ac4d7e23a
Binary files /dev/null and "b/frameworks/llama_index/0.14.20/0.14.20\346\265\213\350\257\225\347\273\223\346\236\234\346\210\252\345\233\276" differ
diff --git a/frameworks/llama_index/0.14.20/Dockerfile b/frameworks/llama_index/0.14.20/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..629348d6e3ab5f68a8c9df42b114ad0878053799
--- /dev/null
+++ b/frameworks/llama_index/0.14.20/Dockerfile
@@ -0,0 +1,25 @@
+# 基础镜像：OpenCloudOS 9 极简版，适用于纯 Python / CPU 框架
+FROM opencloudos/opencloudos9-minimal:latest
+
+# 镜像元信息
+LABEL maintainer="pangxb666"
+LABEL org.opencontainers.image.source="https://gitee.com/OpenCloudOS/ai-agent-container"
+LABEL org.opencontainers.image.description="LlamaIndex 0.14.20 on OpenCloudOS 9"
+
+# 安装 Python 3.11 及 pip，安装完成后清理缓存以减小镜像体积
+RUN dnf install -y \
+    python3.11 \
+    python3.11-pip \
+    && dnf clean all \
+    && rm -rf /var/cache/yum/*
+
+# 使用清华镜像源安装 LlamaIndex，加速国内网络下的依赖下载
+RUN pip3.11 install --no-cache-dir llama-index==0.14.20 llama-index-core==0.14.20 \
+    -i https://pypi.tuna.tsinghua.edu.cn/simple \
+    --trusted-host pypi.tuna.tsinghua.edu.cn
+
+# 记录镜像构建时间，便于追溯
+RUN echo $(date +"%Y-%m-%dT%H:%M:%S%z") > /opencloudos_build_date.txt
+
+# 默认进入 Python 3.11 交互环境
+CMD ["python3.11"]
diff --git a/frameworks/llama_index/0.14.20/README.md b/frameworks/llama_index/0.14.20/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..e1b3e17a91cb97c1a43c0270431b834f10c99d94
--- /dev/null
+++ b/frameworks/llama_index/0.14.20/README.md
@@ -0,0 +1,33 @@
+# LlamaIndex 0.14.20 on OpenCloudOS 9
+
+## 基本信息
+
+- **框架版本**：0.14.20
+- **基础镜像**：opencloudos/opencloudos9-minimal:latest
+- **Python 版本**：3.11
+- **CUDA 版本**：N/A
+- **开源地址**：https://github.com/run-llama/llama_index
+
+## 简介
+
+LlamaIndex 是一个用于构建 LLM 驱动应用的数据框架，提供数据摄取、索引、查询等核心能力，支持 RAG（检索增强生成）等场景。
+
+## 构建
+
+```bash
+docker build -t oc9-llama_index:0.14.20 .
+```
+
+## 使用示例
+
+```bash
+# 验证版本
+docker run --rm oc9-llama_index:0.14.20 python3.11 -c "import importlib.metadata; print(importlib.metadata.version('llama-index'))"
+
+# 运行基础测试
+docker run --rm oc9-llama_index:0.14.20 bash /test.sh
+```
+
+## 已知问题
+
+无
diff --git a/frameworks/llama_index/0.14.20/build.conf b/frameworks/llama_index/0.14.20/build.conf
new file mode 100644
index 0000000000000000000000000000000000000000..a4ed93cfae99a60dfabb5ad2e4707dd528a7ba40
--- /dev/null
+++ b/frameworks/llama_index/0.14.20/build.conf
@@ -0,0 +1,4 @@
+# llama_index 0.14.20 on OpenCloudOS 9
+IMAGE_NAME=oc9-llama-index
+IMAGE_TAG=0.14.20
+GPU_TEST=false
diff --git a/frameworks/llama_index/0.14.20/test.sh b/frameworks/llama_index/0.14.20/test.sh
new file mode 100644
index 0000000000000000000000000000000000000000..ac8feeda39b5735e425868eee35f379695d6dd08
--- /dev/null
+++ b/frameworks/llama_index/0.14.20/test.sh
@@ -0,0 +1,39 @@
+#!/bin/bash
+set -e
+
+IMAGE="${1:?ERROR: 缺少镜像参数。用法: bash test.sh <image:tag>}"
+
+echo "=== LlamaIndex 0.14.20 基础功能测试 ==="
+
+# 1. 验证 llama-index 可正常导入并检查版本
+echo -n "检查 import llama_index... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+import importlib.metadata
+print(importlib.metadata.version('llama-index-core'))
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 2. 验证 Document 核心对象创建
+echo -n "检查 Document 对象创建... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+from llama_index.core import Document
+
+doc = Document(text='LlamaIndex 是一个用于 LLM 应用的数据框架')
+assert doc.text == 'LlamaIndex 是一个用于 LLM 应用的数据框架'
+assert doc.doc_id is not None
+print(f'Document 创建成功，id={doc.doc_id[:8]}...')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 3. 验证 SentenceSplitter 文本分割
+echo -n "检查 SentenceSplitter 文本分割... "
+sudo docker run --rm "$IMAGE" python3.11 -c "
+from llama_index.core.node_parser import SentenceSplitter
+from llama_index.core import Document
+
+splitter = SentenceSplitter(chunk_size=100, chunk_overlap=10)
+doc = Document(text='This is a test sentence. ' * 20)
+nodes = splitter.get_nodes_from_documents([doc])
+assert len(nodes) > 0, '文本分割应产生至少一个节点'
+print(f'分割产生 {len(nodes)} 个节点')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+echo "=== 所有测试通过 ==="