diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 00000000..549a8a2d
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,24 @@
+FROM python:3.10-slim AS builder
+
+RUN pip3 install poetry
+
+ENV POETRY_NO_INTERACTION=1 \
+    POETRY_VIRTUALENVS_IN_PROJECT=1 \
+    POETRY_VIRTUALENVS_CREATE=1 \
+    POETRY_CACHE_DIR=/tmp/poetry_cache
+
+WORKDIR /app
+COPY . .
+
+RUN poetry install && rm -rf $POETRY_CACHE_DIR
+
+FROM python:3.10-slim AS prod
+ENV VIRTUAL_ENV=/app/.venv \
+    PATH="/app/.venv/bin:$PATH"
+
+RUN apt-get update && apt-get install -y libgl1 libglib2.0-0
+
+WORKDIR /app
+COPY . .
+COPY --from=builder ${VIRTUAL_ENV} ${VIRTUAL_ENV}
+ENTRYPOINT ["pai_rag", "run"]
diff --git a/docker/Dockerfile b/docker/Dockerfile
deleted file mode 100644
index 85e699f8..00000000
--- a/docker/Dockerfile
+++ /dev/null
@@ -1,35 +0,0 @@
-FROM filebrowser/filebrowser as filebrowser
-FROM nvidia/cuda:11.7.1-cudnn8-runtime-ubuntu22.04
-
-# 为了避免时区选择交互
-ENV DEBIAN_FRONTEND=noninteractive
-
-# 安装基本工具和编译依赖项
-RUN apt-get update -y && apt-get install -y  \
-    libgl1 libglib2.0-0 \
-    sudo wget tar git git-lfs vim tig \
-    telnet curl net-tools zip\
-    python3-pip python-is-python3 python3.10-venv libpq-dev libffi-dev && \
-    rm -rf /var/lib/apt/lists/*
-
-RUN pip3 install --upgrade pip
-
-# 复制代码到容器中 (根据需要调整或移除此行) [新加坡无法连接gitlab，因此将代码打包上传到OSS再下载]
-# RUN git clone --branch master http://gitlab-ci-token:of-xxx@gitlab.alibaba-inc.com/pai_biz_arch/EasyRAG.git /app/EasyRAG
-
-# 若测试阶段，可以自行通过脚本打包代码上传至OSS，并替换下面的tar包名称
-ADD https://pai-rag.oss-cn-hangzhou.aliyuncs.com/codes/EasyRAG_yyyymmdd-hhmmss-N.tar.gz /app/
-RUN cd /app/ && mkdir EasyRAG && tar -xvf EasyRAG_yyyymmdd-hhmmss-N.tar.gz -C EasyRAG/
-
-# 设置工作目录
-WORKDIR /app/EasyRAG
-
-# 进入工作目录并进行环境安装
-RUN cd /app/EasyRAG
-RUN pip install poetry \
-    && poetry config virtualenvs.create false
-RUN poetry install
-RUN cd src/pai_rag/integrations/llms/paieas && poetry install
-RUN cd /app/EasyRAG/package && pip install pai_llm_trace-0.0.1-py3-none-any.whl
-
-RUN cd /app/EasyRAG
diff --git a/docker/README.md b/docker/README.md
deleted file mode 100644
index 4258524b..00000000
--- a/docker/README.md
+++ /dev/null
@@ -1,48 +0,0 @@
-# 镜像打包与使用说明
-
-## 1. 镜像构建
-
-### 1.1 EasyRAG镜像
-
-```bash
-cd docker/
-docker build -t rag:test -f Dockerfile .
-```
-
-- 环境建议使用新加坡ECS或本机电脑。由于需要下载基础镜像nvidia/cuda:11.7.1-cudnn8-runtime-ubuntu22.04及安装一系列依赖，弹内开发机网络受限。
-
-- 其中，由于新加坡无法连接Gitlab Repo，因此项目代码部分采用先打包上传至OSS，再下载代码包的方式。
-
-打包命令可参考：
-
-```bash
-sh scripts/package_and_upload_to_oss.sh
-```
-
-- 已经写好Dockerfile，可酌情根据需要调整。【注意替换其中的代码包名称: EasyRAG_yyyymmdd-hhmmss-N.tar.gz】
-
-### 1.2 （可选）Arize-phoenix镜像
-
-- 为了在EAS上部署Arize-phoenix-tracing服务，故采取镜像方式。
-
-- 采用Arize-phoenix官方镜像，地址：**arizephoenix/phoenix:latest**。
-
-## 2. 本地测试
-
-```bash
-docker run -td --network host rag:test
-docker exec -it [id] bash
-# 进入容器后执行 (按需export环境变量)
-pai_rag run
-```
-
-## 3. 镜像上传
-
-测试阶段先使用组内个人镜像 mybigpai:aigc_apps
-[mybigpai:aigc_apps地址](https://cr.console.aliyun.com/repository/cn-beijing/mybigpai/aigc_apps/details)
-
-```bash
-$ docker login --username=xxxx@xxx registry.cn-beijing.aliyuncs.com
-$ docker tag [ImageId] registry.cn-beijing.aliyuncs.com/mybigpai/aigc_apps:[镜像版本号]
-$ docker push registry.cn-beijing.aliyuncs.com/mybigpai/aigc_apps:[镜像版本号]
-```
diff --git a/docker/data_loader/Dockerfile b/docker/data_loader/Dockerfile
deleted file mode 100644
index e69de29b..00000000
diff --git a/poetry.lock b/poetry.lock
index 4ac5642f..f168d99d 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -640,13 +640,13 @@ files = [
 
 [[package]]
 name = "certifi"
-version = "2024.2.2"
+version = "2024.6.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
-    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
+    {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"},
+    {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"},
 ]
 
 [[package]]
@@ -1282,19 +1282,19 @@ files = [
 
 [[package]]
 name = "duckduckgo-search"
-version = "6.1.2"
+version = "6.1.4"
 description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "duckduckgo_search-6.1.2-py3-none-any.whl", hash = "sha256:74b04a4c7e0803c1b93ea51dcfdc92fce26d60757c76ba897ed0c424297d27f2"},
-    {file = "duckduckgo_search-6.1.2.tar.gz", hash = "sha256:4250c937db9b9c6831e6960455c7fc6cc86825764b0020c0edd2c302db5bc2f7"},
+    {file = "duckduckgo_search-6.1.4-py3-none-any.whl", hash = "sha256:2248def55da5982a5d055a22972e880646de6b6e5f77d1e4fdb971aed151bd05"},
+    {file = "duckduckgo_search-6.1.4.tar.gz", hash = "sha256:4b7baf2aebf05302bbb6791df05a968c4c5a3835e5f3f422b5048fed230d2699"},
 ]
 
 [package.dependencies]
 click = ">=8.1.7"
 orjson = ">=3.10.3"
-pyreqwest-impersonate = ">=0.4.6"
+pyreqwest-impersonate = ">=0.4.7"
 
 [package.extras]
 dev = ["mypy (>=1.10.0)", "pytest (>=8.2.0)", "pytest-asyncio (>=0.23.6)", "ruff (>=0.4.4)"]
@@ -1513,13 +1513,14 @@ testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)",
 typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
-name = "FlagEmbedding"
+name = "flagembedding"
 version = "1.2.10"
 description = "FlagEmbedding"
 optional = false
 python-versions = "*"
-files = []
-develop = false
+files = [
+    {file = "FlagEmbedding-1.2.10.tar.gz", hash = "sha256:0d0a553e5cca935bb80576f031023e8cb1775e6f9b29b0ab6bbe210697755d30"},
+]
 
 [package.dependencies]
 accelerate = ">=0.20.1"
@@ -1528,12 +1529,6 @@ sentence_transformers = "*"
 torch = ">=1.6.0"
 transformers = ">=4.33.0"
 
-[package.source]
-type = "git"
-url = "https://github.com/FlagOpen/FlagEmbedding.git"
-reference = "HEAD"
-resolved_reference = "9d4ec44dc8982b648b58a807c68d9820f86f08dd"
-
 [[package]]
 name = "flatbuffers"
 version = "24.3.25"
@@ -1547,53 +1542,53 @@ files = [
 
 [[package]]
 name = "fonttools"
-version = "4.52.4"
+version = "4.53.0"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "fonttools-4.52.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5ecb88318ff249bd2a715e7aec36774ce7ae3441128007ef72a39a60601f4a8f"},
-    {file = "fonttools-4.52.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9a22cf1adaae7b2ba2ed7d8651a4193a4f348744925b4b740e6b38a94599c5b"},
-    {file = "fonttools-4.52.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8873d6edd1dae5c088dd3d61c9fd4dd80c827c486fa224d368233e7f33dc98af"},
-    {file = "fonttools-4.52.4-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:73ba38b98c012957940a04d9eb5439b42565ac892bba8cfc32e10d88e73921fe"},
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 ]
 
 [package.extras]
@@ -2267,22 +2262,22 @@ tifffile = ["tifffile"]
 
 [[package]]
 name = "importlib-metadata"
-version = "7.0.0"
+version = "7.1.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-7.0.0-py3-none-any.whl", hash = "sha256:d97503976bb81f40a193d41ee6570868479c69d5068651eb039c40d850c59d67"},
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 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "importlib-resources"
@@ -2310,6 +2305,20 @@ files = [
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
 ]
 
+[[package]]
+name = "intel-openmp"
+version = "2021.4.0"
+description = "Intel OpenMP* Runtime Library"
+optional = false
+python-versions = "*"
+files = [
+    {file = "intel_openmp-2021.4.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl", hash = "sha256:41c01e266a7fdb631a7609191709322da2bbf24b252ba763f125dd651bcc7675"},
+    {file = "intel_openmp-2021.4.0-py2.py3-none-manylinux1_i686.whl", hash = "sha256:3b921236a38384e2016f0f3d65af6732cf2c12918087128a9163225451e776f2"},
+    {file = "intel_openmp-2021.4.0-py2.py3-none-manylinux1_x86_64.whl", hash = "sha256:e2240ab8d01472fed04f3544a878cda5da16c26232b7ea1b59132dbfb48b186e"},
+    {file = "intel_openmp-2021.4.0-py2.py3-none-win32.whl", hash = "sha256:6e863d8fd3d7e8ef389d52cf97a50fe2afe1a19247e8c0d168ce021546f96fc9"},
+    {file = "intel_openmp-2021.4.0-py2.py3-none-win_amd64.whl", hash = "sha256:eef4c8bcc8acefd7f5cd3b9384dbf73d59e2c99fc56545712ded913f43c4a94f"},
+]
+
 [[package]]
 name = "jieba"
 version = "0.42.1"
@@ -2554,19 +2563,19 @@ test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"]
 
 [[package]]
 name = "llama-index"
-version = "0.10.40"
+version = "0.10.39"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index-0.10.40-py3-none-any.whl", hash = "sha256:147ea5cf7c4864551d90533c43be8043451365e5e5912c4bc32f4f99957e436b"},
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+    {file = "llama_index-0.10.39-py3-none-any.whl", hash = "sha256:59d273b7695d66757f6fe3e9a0a06c994a2e26a9d545310cd088a684be1dc4b5"},
+    {file = "llama_index-0.10.39.tar.gz", hash = "sha256:ddc7e77cfd526869e781a76a3db17175f3c04ec97f256bf4ee2bf433008d7dd1"},
 ]
 
 [package.dependencies]
 llama-index-agent-openai = ">=0.1.4,<0.3.0"
 llama-index-cli = ">=0.1.2,<0.2.0"
-llama-index-core = ">=0.10.40,<0.11.0"
+llama-index-core = ">=0.10.39,<0.11.0"
 llama-index-embeddings-openai = ">=0.1.5,<0.2.0"
 llama-index-indices-managed-llama-cloud = ">=0.1.2,<0.2.0"
 llama-index-legacy = ">=0.9.48,<0.10.0"
@@ -2611,13 +2620,13 @@ llama-index-llms-openai = ">=0.1.1,<0.2.0"
 
 [[package]]
 name = "llama-index-core"
-version = "0.10.40"
+version = "0.10.39"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_core-0.10.40-py3-none-any.whl", hash = "sha256:c08df2a46ebf417ca0f1b68a5d797df0c053796d96c93e1cdc0456d11a89753a"},
-    {file = "llama_index_core-0.10.40.tar.gz", hash = "sha256:72d30aea7a77f87484abe99a341c945021c95ea5e2adcc60199094931a07623a"},
+    {file = "llama_index_core-0.10.39-py3-none-any.whl", hash = "sha256:4b68724936f09220e417951572739f041ec2184caf9eb4e45017f4419cb98bd9"},
+    {file = "llama_index_core-0.10.39.tar.gz", hash = "sha256:67b417676ff9b50d89d9379251c7de51bd68da042c47db934ed5794824eb41a5"},
 ]
 
 [package.dependencies]
@@ -2812,13 +2821,13 @@ transformers = {version = ">=4.37.0,<5.0.0", extras = ["torch"]}
 
 [[package]]
 name = "llama-index-llms-openai"
-version = "0.1.21"
+version = "0.1.22"
 description = "llama-index llms openai integration"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_llms_openai-0.1.21-py3-none-any.whl", hash = "sha256:fd2fa240238c7dca0170bf55957bb088d9b6acf63c80924eb59498f3a5ac0df3"},
-    {file = "llama_index_llms_openai-0.1.21.tar.gz", hash = "sha256:e9d631135160ac87093cd7d5ae3e32c4debf8eeaafa29ee4739675867155d773"},
+    {file = "llama_index_llms_openai-0.1.22-py3-none-any.whl", hash = "sha256:84a8c910671460ad724ed818192f209f7481e71bcc6528553ba7e66db2e14bcd"},
+    {file = "llama_index_llms_openai-0.1.22.tar.gz", hash = "sha256:729bf2ea7043517465e1d585089512b77d8b3ce92233a67c138d5d621061ed56"},
 ]
 
 [package.dependencies]
@@ -3305,6 +3314,24 @@ files = [
     {file = "minijinja-2.0.1.tar.gz", hash = "sha256:e774beffebfb8a1ad17e638ef70917cf5e94593f79acb8a8fff7d983169f3a4e"},
 ]
 
+[[package]]
+name = "mkl"
+version = "2021.4.0"
+description = "Intel® oneAPI Math Kernel Library"
+optional = false
+python-versions = "*"
+files = [
+    {file = "mkl-2021.4.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl", hash = "sha256:67460f5cd7e30e405b54d70d1ed3ca78118370b65f7327d495e9c8847705e2fb"},
+    {file = "mkl-2021.4.0-py2.py3-none-manylinux1_i686.whl", hash = "sha256:636d07d90e68ccc9630c654d47ce9fdeb036bb46e2b193b3a9ac8cfea683cce5"},
+    {file = "mkl-2021.4.0-py2.py3-none-manylinux1_x86_64.whl", hash = "sha256:398dbf2b0d12acaf54117a5210e8f191827f373d362d796091d161f610c1ebfb"},
+    {file = "mkl-2021.4.0-py2.py3-none-win32.whl", hash = "sha256:439c640b269a5668134e3dcbcea4350459c4a8bc46469669b2d67e07e3d330e8"},
+    {file = "mkl-2021.4.0-py2.py3-none-win_amd64.whl", hash = "sha256:ceef3cafce4c009dd25f65d7ad0d833a0fbadc3d8903991ec92351fe5de1e718"},
+]
+
+[package.dependencies]
+intel-openmp = "==2021.*"
+tbb = "==2021.*"
+
 [[package]]
 name = "mmh3"
 version = "4.1.0"
@@ -3842,6 +3869,17 @@ files = [
     {file = "nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl", hash = "sha256:a9734707a2c96443331c1e48c717024aa6678a0e2a4cb66b2c364d18cee6b48d"},
 ]
 
+[[package]]
+name = "nvidia-nccl-cu12"
+version = "2.20.5"
+description = "NVIDIA Collective Communication Library (NCCL) Runtime"
+optional = false
+python-versions = ">=3"
+files = [
+    {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01"},
+    {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56"},
+]
+
 [[package]]
 name = "nvidia-nvjitlink-cu12"
 version = "12.5.40"
@@ -3924,13 +3962,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.30.4"
+version = "1.30.5"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.30.4-py3-none-any.whl", hash = "sha256:fb2635efd270efaf9fac2e07558d7948373b940637d3ae3ab624c1a983d4f03f"},
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+    {file = "openai-1.30.5-py3-none-any.whl", hash = "sha256:2ad95e926de0d2e09cde632a9204b0a6dca4a03c2cdcc84329b01f355784355a"},
+    {file = "openai-1.30.5.tar.gz", hash = "sha256:5366562eb2c5917e6116ae0391b7ae6e3acd62b0ae3f565ada32b35d8fcfa106"},
 ]
 
 [package.dependencies]
@@ -4046,13 +4084,13 @@ files = [
 
 [[package]]
 name = "openpyxl"
-version = "3.1.2"
+version = "3.1.3"
 description = "A Python library to read/write Excel 2010 xlsx/xlsm files"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "openpyxl-3.1.2-py2.py3-none-any.whl", hash = "sha256:f91456ead12ab3c6c2e9491cf33ba6d08357d802192379bb482f1033ade496f5"},
-    {file = "openpyxl-3.1.2.tar.gz", hash = "sha256:a6f5977418eff3b2d5500d54d9db50c8277a368436f4e4f8ddb1be3422870184"},
+    {file = "openpyxl-3.1.3-py2.py3-none-any.whl", hash = "sha256:25071b558db709de9e8782c3d3e058af3b23ffb2fc6f40c8f0c45a154eced2c3"},
+    {file = "openpyxl-3.1.3.tar.gz", hash = "sha256:8dd482e5350125b2388070bb2477927be2e8ebc27df61178709bc8c8751da2f9"},
 ]
 
 [package.dependencies]
@@ -4060,42 +4098,42 @@ et-xmlfile = "*"
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.24.0"
+version = "1.25.0"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_api-1.24.0-py3-none-any.whl", hash = "sha256:0f2c363d98d10d1ce93330015ca7fd3a65f60be64e05e30f557c61de52c80ca2"},
-    {file = "opentelemetry_api-1.24.0.tar.gz", hash = "sha256:42719f10ce7b5a9a73b10a4baf620574fb8ad495a9cbe5c18d76b75d8689c67e"},
+    {file = "opentelemetry_api-1.25.0-py3-none-any.whl", hash = "sha256:757fa1aa020a0f8fa139f8959e53dec2051cc26b832e76fa839a6d76ecefd737"},
+    {file = "opentelemetry_api-1.25.0.tar.gz", hash = "sha256:77c4985f62f2614e42ce77ee4c9da5fa5f0bc1e1821085e9a47533a9323ae869"},
 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
-importlib-metadata = ">=6.0,<=7.0"
+importlib-metadata = ">=6.0,<=7.1"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.24.0"
+version = "1.25.0"
 description = "OpenTelemetry Protobuf encoding"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_common-1.24.0-py3-none-any.whl", hash = "sha256:e51f2c9735054d598ad2df5d3eca830fecfb5b0bda0a2fa742c9c7718e12f641"},
-    {file = "opentelemetry_exporter_otlp_proto_common-1.24.0.tar.gz", hash = "sha256:5d31fa1ff976cacc38be1ec4e3279a3f88435c75b38b1f7a099a1faffc302461"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.25.0-py3-none-any.whl", hash = "sha256:15637b7d580c2675f70246563363775b4e6de947871e01d0f4e3881d1848d693"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.25.0.tar.gz", hash = "sha256:c93f4e30da4eee02bacd1e004eb82ce4da143a2f8e15b987a9f603e0a85407d3"},
 ]
 
 [package.dependencies]
-opentelemetry-proto = "1.24.0"
+opentelemetry-proto = "1.25.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-grpc"
-version = "1.24.0"
+version = "1.25.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "opentelemetry_exporter_otlp_proto_grpc-1.24.0.tar.gz", hash = "sha256:217c6e30634f2c9797999ea9da29f7300479a94a610139b9df17433f915e7baa"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.25.0-py3-none-any.whl", hash = "sha256:3131028f0c0a155a64c430ca600fd658e8e37043cb13209f0109db5c1a3e4eb4"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.25.0.tar.gz", hash = "sha256:c0b1661415acec5af87625587efa1ccab68b873745ca0ee96b69bb1042087eac"},
 ]
 
 [package.dependencies]
@@ -4103,22 +4141,19 @@ deprecated = ">=1.2.6"
 googleapis-common-protos = ">=1.52,<2.0"
 grpcio = ">=1.0.0,<2.0.0"
 opentelemetry-api = ">=1.15,<2.0"
-opentelemetry-exporter-otlp-proto-common = "1.24.0"
-opentelemetry-proto = "1.24.0"
-opentelemetry-sdk = ">=1.24.0,<1.25.0"
-
-[package.extras]
-test = ["pytest-grpc"]
+opentelemetry-exporter-otlp-proto-common = "1.25.0"
+opentelemetry-proto = "1.25.0"
+opentelemetry-sdk = ">=1.25.0,<1.26.0"
 
 [[package]]
 name = "opentelemetry-instrumentation"
-version = "0.45b0"
+version = "0.46b0"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation-0.45b0-py3-none-any.whl", hash = "sha256:06c02e2c952c1b076e8eaedf1b82f715e2937ba7eeacab55913dd434fbcec258"},
-    {file = "opentelemetry_instrumentation-0.45b0.tar.gz", hash = "sha256:6c47120a7970bbeb458e6a73686ee9ba84b106329a79e4a4a66761f933709c7e"},
+    {file = "opentelemetry_instrumentation-0.46b0-py3-none-any.whl", hash = "sha256:89cd721b9c18c014ca848ccd11181e6b3fd3f6c7669e35d59c48dc527408c18b"},
+    {file = "opentelemetry_instrumentation-0.46b0.tar.gz", hash = "sha256:974e0888fb2a1e01c38fbacc9483d024bb1132aad92d6d24e2e5543887a7adda"},
 ]
 
 [package.dependencies]
@@ -4128,55 +4163,55 @@ wrapt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "opentelemetry-instrumentation-asgi"
-version = "0.45b0"
+version = "0.46b0"
 description = "ASGI instrumentation for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "opentelemetry_instrumentation_asgi-0.46b0-py3-none-any.whl", hash = "sha256:f13c55c852689573057837a9500aeeffc010c4ba59933c322e8f866573374759"},
+    {file = "opentelemetry_instrumentation_asgi-0.46b0.tar.gz", hash = "sha256:02559f30cf4b7e2a737ab17eb52aa0779bcf4cc06573064f3e2cb4dcc7d3040a"},
 ]
 
 [package.dependencies]
 asgiref = ">=3.0,<4.0"
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.45b0"
-opentelemetry-semantic-conventions = "0.45b0"
-opentelemetry-util-http = "0.45b0"
+opentelemetry-instrumentation = "0.46b0"
+opentelemetry-semantic-conventions = "0.46b0"
+opentelemetry-util-http = "0.46b0"
 
 [package.extras]
 instruments = ["asgiref (>=3.0,<4.0)"]
 
 [[package]]
 name = "opentelemetry-instrumentation-fastapi"
-version = "0.45b0"
+version = "0.46b0"
 description = "OpenTelemetry FastAPI Instrumentation"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.45b0"
-opentelemetry-instrumentation-asgi = "0.45b0"
-opentelemetry-semantic-conventions = "0.45b0"
-opentelemetry-util-http = "0.45b0"
+opentelemetry-instrumentation = "0.46b0"
+opentelemetry-instrumentation-asgi = "0.46b0"
+opentelemetry-semantic-conventions = "0.46b0"
+opentelemetry-util-http = "0.46b0"
 
 [package.extras]
 instruments = ["fastapi (>=0.58,<1.0)"]
 
 [[package]]
 name = "opentelemetry-proto"
-version = "1.24.0"
+version = "1.25.0"
 description = "OpenTelemetry Python Proto"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_proto-1.24.0-py3-none-any.whl", hash = "sha256:bcb80e1e78a003040db71ccf83f2ad2019273d1e0828089d183b18a1476527ce"},
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+    {file = "opentelemetry_proto-1.25.0-py3-none-any.whl", hash = "sha256:f07e3341c78d835d9b86665903b199893befa5e98866f63d22b00d0b7ca4972f"},
+    {file = "opentelemetry_proto-1.25.0.tar.gz", hash = "sha256:35b6ef9dc4a9f7853ecc5006738ad40443701e52c26099e197895cbda8b815a3"},
 ]
 
 [package.dependencies]
@@ -4184,40 +4219,43 @@ protobuf = ">=3.19,<5.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.24.0"
+version = "1.25.0"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "opentelemetry_sdk-1.25.0-py3-none-any.whl", hash = "sha256:d97ff7ec4b351692e9d5a15af570c693b8715ad78b8aafbec5c7100fe966b4c9"},
+    {file = "opentelemetry_sdk-1.25.0.tar.gz", hash = "sha256:ce7fc319c57707ef5bf8b74fb9f8ebdb8bfafbe11898410e0d2a761d08a98ec7"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.24.0"
-opentelemetry-semantic-conventions = "0.45b0"
+opentelemetry-api = "1.25.0"
+opentelemetry-semantic-conventions = "0.46b0"
 typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.45b0"
+version = "0.46b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_semantic_conventions-0.45b0-py3-none-any.whl", hash = "sha256:a4a6fb9a7bacd9167c082aa4681009e9acdbfa28ffb2387af50c2fef3d30c864"},
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+    {file = "opentelemetry_semantic_conventions-0.46b0.tar.gz", hash = "sha256:fbc982ecbb6a6e90869b15c1673be90bd18c8a56ff1cffc0864e38e2edffaefa"},
 ]
 
+[package.dependencies]
+opentelemetry-api = "1.25.0"
+
 [[package]]
 name = "opentelemetry-util-http"
-version = "0.45b0"
+version = "0.46b0"
 description = "Web util for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_util_http-0.45b0-py3-none-any.whl", hash = "sha256:6628868b501b3004e1860f976f410eeb3d3499e009719d818000f24ce17b6e33"},
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 ]
 
 [[package]]
@@ -5204,19 +5242,59 @@ files = [
 
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 name = "pyreqwest-impersonate"
-version = "0.4.6"
+version = "0.4.7"
 description = "HTTP client that can impersonate web browsers, mimicking their headers and `TLS/JA3/JA4/HTTP2` fingerprints"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "torchvision-0.18.0+cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:ad2cfbf625f93f6a51bbbb8e993f4e0ba96e84a12a6719cc5f7ed3cc5b0fc09d"},
+    {file = "torchvision-0.18.0+cpu-cp311-cp311-win_amd64.whl", hash = "sha256:09eb510de992fe64fb30d326e0662cbf94ac891a3a616b2a8acf14e6663df6d0"},
+    {file = "torchvision-0.18.0+cpu-cp312-cp312-linux_x86_64.whl", hash = "sha256:d7169c0bc00faee13c1e9eae186cfe19a5b32e1079eec5d47bf494140fe945cf"},
+    {file = "torchvision-0.18.0+cpu-cp312-cp312-win_amd64.whl", hash = "sha256:b9578be98e357d90b508669cd77de8609327fc234d67cfc9455634be436b0bda"},
+    {file = "torchvision-0.18.0+cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:d20a65db1c6821fd79b8b4678cd21c14c8d8c1a1fd0d5ae2b43528db568ea890"},
+    {file = "torchvision-0.18.0+cpu-cp38-cp38-win_amd64.whl", hash = "sha256:e47a0ccd1e80ced219a2d91250c6edc2901387ea444bfdd16b248d81cc76b171"},
+    {file = "torchvision-0.18.0+cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:0e764a15c69f51742b09ec17cc2dcd1eee445e87cfd93a9b13b1caa2037f154d"},
+    {file = "torchvision-0.18.0+cpu-cp39-cp39-win_amd64.whl", hash = "sha256:1b83ff7a519036fc63c018b08046d84fceefbcef519fe7f55476e84d1c237e59"},
+]
+
+[package.dependencies]
+numpy = "*"
+pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
+torch = "2.3.0"
+
+[package.extras]
+scipy = ["scipy"]
+
+[package.source]
+type = "legacy"
+url = "https://download.pytorch.org/whl/cpu"
+reference = "pytorch_cpu"
+
 [[package]]
 name = "tqdm"
 version = "4.66.4"
@@ -6717,13 +6968,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.41.1"
+version = "4.41.2"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "transformers-4.41.1-py3-none-any.whl", hash = "sha256:f0680e0b1a01067eccd11f62f0522409422c7d6f91d532fe0f50b136a406129d"},
-    {file = "transformers-4.41.1.tar.gz", hash = "sha256:fa859e4c66f0896633a3bf534e0d9a29a9a88478a49f94c5d8270537dc61cc42"},
+    {file = "transformers-4.41.2-py3-none-any.whl", hash = "sha256:05555d20e43f808de1ef211ab64803cdb513170cef70d29a888b589caebefc67"},
+    {file = "transformers-4.41.2.tar.gz", hash = "sha256:80a4db216533d573e9cc7388646c31ed9480918feb7c55eb211249cb23567f87"},
 ]
 
 [package.dependencies]
@@ -6806,6 +7057,29 @@ build = ["cmake (>=3.20)", "lit"]
 tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"]
 tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
 
+[[package]]
+name = "triton"
+version = "2.3.0"
+description = "A language and compiler for custom Deep Learning operations"
+optional = false
+python-versions = "*"
+files = [
+    {file = "triton-2.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ce4b8ff70c48e47274c66f269cce8861cf1dc347ceeb7a67414ca151b1822d8"},
+    {file = "triton-2.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c3d9607f85103afdb279938fc1dd2a66e4f5999a58eb48a346bd42738f986dd"},
+    {file = "triton-2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:218d742e67480d9581bafb73ed598416cc8a56f6316152e5562ee65e33de01c0"},
+    {file = "triton-2.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:381ec6b3dac06922d3e4099cfc943ef032893b25415de295e82b1a82b0359d2c"},
+    {file = "triton-2.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:038e06a09c06a164fef9c48de3af1e13a63dc1ba3c792871e61a8e79720ea440"},
+    {file = "triton-2.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d8f636e0341ac348899a47a057c3daea99ea7db31528a225a3ba4ded28ccc65"},
+]
+
+[package.dependencies]
+filelock = "*"
+
+[package.extras]
+build = ["cmake (>=3.20)", "lit"]
+tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"]
+tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
+
 [[package]]
 name = "typer"
 version = "0.12.3"
@@ -6836,13 +7110,13 @@ files = [
 
 [[package]]
 name = "typing-extensions"
-version = "4.12.0"
+version = "4.12.1"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.12.0-py3-none-any.whl", hash = "sha256:b349c66bea9016ac22978d800cfff206d5f9816951f12a7d0ec5578b0a819594"},
-    {file = "typing_extensions-4.12.0.tar.gz", hash = "sha256:8cbcdc8606ebcb0d95453ad7dc5065e6237b6aa230a31e81d0f440c30fed5fd8"},
+    {file = "typing_extensions-4.12.1-py3-none-any.whl", hash = "sha256:6024b58b69089e5a89c347397254e35f1bf02a907728ec7fee9bf0fe837d203a"},
+    {file = "typing_extensions-4.12.1.tar.gz", hash = "sha256:915f5e35ff76f56588223f15fdd5938f9a1cf9195c0de25130c627e4d597f6d1"},
 ]
 
 [[package]]
@@ -7548,20 +7822,20 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.19.0"
+version = "3.19.1"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.19.0-py3-none-any.whl", hash = "sha256:96dc6ad62f1441bcaccef23b274ec471518daf4fbbc580341204936a5a3dddec"},
-    {file = "zipp-3.19.0.tar.gz", hash = "sha256:952df858fb3164426c976d9338d3961e8e8b3758e2e059e0f754b8c4262625ee"},
+    {file = "zipp-3.19.1-py3-none-any.whl", hash = "sha256:2828e64edb5386ea6a52e7ba7cdb17bb30a73a858f5eb6eb93d8d36f5ea26091"},
+    {file = "zipp-3.19.1.tar.gz", hash = "sha256:35427f6d5594f4acf82d25541438348c26736fa9b3afa2754bcd63cdb99d8e8f"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10.0,<3.12"
-content-hash = "b5658c7dd0504c29f60c856dc5993223a59a4c74ce1cd009faac91848456a71f"
+content-hash = "909a2eaea31206898ab29c207414a5ec6b03c07fd2b30c56c419f577c768a6f8"
diff --git a/pyproject.toml b/pyproject.toml
index b5e005a6..5bd81bf8 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,7 +13,7 @@ readme = "README.md"
 python = ">=3.10.0,<3.12"
 fastapi = "^0.110.1"
 uvicorn = "^0.29.0"
-llama-index-core = "^0.10.29"
+llama-index-core = ">=0.10.29,<=0.10.39"
 llama-index-embeddings-openai = "^0.1.7"
 llama-index-embeddings-azure-openai = "^0.1.7"
 llama-index-embeddings-dashscope = "^0.1.3"
@@ -37,13 +37,22 @@ pytest = "^8.1.1"
 llama-index-retrievers-bm25 = "^0.1.3"
 jieba = "^0.42.1"
 llama-index-embeddings-huggingface = "^0.2.0"
-llama-index-postprocessor-flag-embedding-reranker = "^0.1.2"
-flagembedding = {git = "https://github.com/FlagOpen/FlagEmbedding.git"}
+llama-index-postprocessor-flag-embedding-reranker = "^0.1.3"
+flagembedding = "^1.2.10"
 sentencepiece = "^0.2.0"
 oss2 = "^2.18.5"
 asgi-correlation-id = "^4.3.1"
 openinference-instrumentation-llama-index = "1.3.0"
-torch = "2.2.2"
+torch = [
+  {version = "2.3.0+cpu", source = "pytorch_cpu", platform = "linux"},
+  {version = "2.3.0+cpu", source = "pytorch_cpu", platform = "win32"},
+  {version = "2.2.2", platform = "darwin"}
+]
+torchvision = [
+  {version = "0.18.0+cpu", source = "pytorch_cpu", platform = "linux"},
+  {version = "0.18.0+cpu", source = "pytorch_cpu", platform = "win32"},
+  {version = "0.17.2", platform = "darwin"}
+]
 openpyxl = "^3.1.2"
 pdf2image = "^1.17.0"
 llama-index-storage-chat-store-redis = "^0.1.3"
@@ -67,5 +76,10 @@ load_data = "pai_rag.data.rag_datapipeline:run"
 load_easyocr_model = "pai_rag.utils.download_easyocr_models:download_easyocr_models"
 evaluation = "pai_rag.evaluations.batch_evaluator:run"
 
+[[tool.poetry.source]]
+name = "pytorch_cpu"
+url = "https://download.pytorch.org/whl/cpu"
+priority = "explicit"
+
 [tool.pytest.ini_options]
 asyncio_mode = "auto"
diff --git a/src/pai_rag/app/web/ui.py b/src/pai_rag/app/web/ui.py
index 1d06e420..0a4aede4 100644
--- a/src/pai_rag/app/web/ui.py
+++ b/src/pai_rag/app/web/ui.py
@@ -133,7 +133,6 @@ def respond(input_elements: List[Any]):
         response = rag_client.query_vector(msg)
     else:
         response = rag_client.query(msg, session_id=current_session_id)
-    print("history======:", update_dict["include_history"])
     if update_dict["include_history"]:
         current_session_id = response.session_id
     else:
@@ -384,7 +383,12 @@ def change_llm_src(value):
                             )
                             # similarity_cutoff = gr.Slider(minimum=0, maximum=1, step=0.01,elem_id="similarity_cutoff",value=view_model.similarity_cutoff, label="Similarity Distance Threshold (The more similar the vectors, the smaller the value.)")
                             rerank_model = gr.Radio(
-                                ["No Rerank", "bge-reranker-base", "LLMRerank"],
+                                [
+                                    "no-reranker",
+                                    "bge-reranker-base",
+                                    "bge-reranker-large",
+                                    "llm-reranker",
+                                ],
                                 label="Re-Rank Model (Note: It will take a long time to load the model when using it for the first time.)",
                                 elem_id="rerank_model",
                                 value=view_model.rerank_model,
diff --git a/src/pai_rag/app/web/view_model.py b/src/pai_rag/app/web/view_model.py
index c833c4cd..01f050ca 100644
--- a/src/pai_rag/app/web/view_model.py
+++ b/src/pai_rag/app/web/view_model.py
@@ -81,7 +81,7 @@ class ViewModel(BaseModel):
 
     similarity_top_k: int = 5
     # similarity_cutoff: float = 0.3
-    rerank_model: str = "No Rerank"
+    rerank_model: str = "no-reranker"
     retrieval_mode: str = "hybrid"  # hybrid / embedding / keyword
     query_engine_type: str = "RetrieverQueryEngine"
     BM25_weight: float = 0.5
@@ -181,13 +181,15 @@ def sync_app_config(self, config):
         # if "Similarity" in config["postprocessor"]:
         #     self.similarity_cutoff = config["postprocessor"].get("similarity_cutoff", 0.1)
 
-        rerank_model = config["postprocessor"].get("rerank_model", "No Rerank")
-        if rerank_model == "llm":
-            self.rerank_model = "LLMRerank"
-        elif rerank_model == "bge_reranker_base":
+        rerank_model = config["postprocessor"].get("rerank_model", "no-reranker")
+        if rerank_model == "llm-reranker":
+            self.rerank_model = "llm-reranker"
+        elif rerank_model == "bge-reranker-base":
             self.rerank_model = "bge-reranker-base"
+        elif rerank_model == "bge-reranker-large":
+            self.rerank_model = "bge-reranker-large"
         else:
-            self.rerank_model = "No Rerank"
+            self.rerank_model = "no-reranker"
 
         self.synthesizer_type = config["synthesizer"].get("type", "SimpleSummarize")
         self.text_qa_template = config["synthesizer"].get("text_qa_template", None)
@@ -278,13 +280,15 @@ def to_app_config(self):
             config["retriever"]["retrieval_mode"] = "keyword"
 
         # config["postprocessor"]["similarity_cutoff"] = self.similarity_cutoff
-        if self.rerank_model == "LLMRerank":
-            config["postprocessor"]["rerank_model"] = "llm"
-            config["postprocessor"]["top_n"] = 3
+        if self.rerank_model == "llm-reranker":
+            config["postprocessor"]["rerank_model"] = "llm-reranker"
         elif self.rerank_model == "bge-reranker-base":
             config["postprocessor"]["rerank_model"] = "bge-reranker-base"
+        elif self.rerank_model == "bge-reranker-large":
+            config["postprocessor"]["rerank_model"] = "bge-reranker-large"
         else:
-            config["postprocessor"]["rerank_model"] = "no rerank"
+            config["postprocessor"]["rerank_model"] = "no-reranker"
+        config["postprocessor"]["top_n"] = 3
 
         config["synthesizer"]["type"] = self.synthesizer_type
         config["synthesizer"]["text_qa_template"] = self.text_qa_template
diff --git a/src/pai_rag/config/settings.toml b/src/pai_rag/config/settings.toml
index 49a52513..65d279a3 100644
--- a/src/pai_rag/config/settings.toml
+++ b/src/pai_rag/config/settings.toml
@@ -45,7 +45,7 @@ chunk_size = 500
 chunk_overlap = 10
 
 [rag.postprocessor]
-rerank_model = "no rerank" # [no rerank, llm, bge_reranker_base]
+rerank_model = "no-reranker" # [no-reranker, bge-reranker-base, bge-reranker-large, llm-reranker]
 top_n = 2
 
 [rag.query_engine]
diff --git a/src/pai_rag/core/rag_application.py b/src/pai_rag/core/rag_application.py
index 3ad33e7b..17f4d6e4 100644
--- a/src/pai_rag/core/rag_application.py
+++ b/src/pai_rag/core/rag_application.py
@@ -12,6 +12,7 @@
     ContextDoc,
     RetrievalResponse,
 )
+from llama_index.core.schema import QueryBundle
 
 import logging
 
@@ -64,7 +65,8 @@ async def aquery_retrieval(self, query: RetrievalQuery) -> RetrievalResponse:
 
         session_id = correlation_id.get() or DEFAULT_SESSION_ID
         self.logger.info(f"Get session ID: {session_id}.")
-        node_results = await self.retriever.aretrieve(query.question)
+        query_bundle = QueryBundle(query.question)
+        node_results = await self.query_engine.aretrieve(query_bundle)
 
         docs = [
             ContextDoc(
diff --git a/src/pai_rag/core/rag_configuration.py b/src/pai_rag/core/rag_configuration.py
index be32bbc8..2c0d01eb 100644
--- a/src/pai_rag/core/rag_configuration.py
+++ b/src/pai_rag/core/rag_configuration.py
@@ -38,5 +38,5 @@ def update(self, new_value: Dynaconf):
     def persist(self):
         """Save configuration to file."""
         data = self.config.as_dict()
-        os.makedirs("output", exist_ok=True)
+        os.makedirs("localdata", exist_ok=True)
         loaders.write(GENERATED_CONFIG_FILE_NAME, DynaBox(data).to_dict(), merge=True)
diff --git a/src/pai_rag/modules/postprocessor/postprocessor.py b/src/pai_rag/modules/postprocessor/postprocessor.py
index a11ca187..4060dc00 100644
--- a/src/pai_rag/modules/postprocessor/postprocessor.py
+++ b/src/pai_rag/modules/postprocessor/postprocessor.py
@@ -40,22 +40,24 @@ def _create_new_instance(self, new_params: Dict[str, Any]):
             )
 
         rerank_model = config.get("rerank_model", "")
-        if rerank_model == "llm":
+        if rerank_model == "llm-reranker":
             top_n = config.get("top_n", DEFAULT_RANK_TOP_N)
-            logger.info(f"[PostProcessor]: LLMRerank used with top_n {top_n}.")
+            logger.info(f"[PostProcessor]: Llm reranker used with top_n {top_n}.")
             post_processors.append(LLMRerank(top_n=top_n, llm=llm))
 
-        elif rerank_model == "bge_reranker_base":
+        elif (
+            rerank_model == "bge-reranker-base" or rerank_model == "bge-reranker-large"
+        ):
             model_dir = config.get("rerank_model_dir", DEFAULT_MODEL_DIR)
-            model_name = config.get("rerank_model_name", DEFAULT_RANK_MODEL)
+            model_name = config.get("rerank_model_name", rerank_model)
             model = os.path.join(model_dir, model_name)
             top_n = config.get("top_n", DEFAULT_RANK_TOP_N)
             logger.info(
-                f"[PostProcessor]: Rerank used with top_n {top_n}, model {model_name}."
+                f"[PostProcessor]: Reranker model used with top_n {top_n}, model {model_name}."
             )
             post_processors.append(FlagEmbeddingReranker(model=model, top_n=top_n))
 
         else:
-            logger.info("[PostProcessor]: No Rerank used.")
+            logger.info("[PostProcessor]: No Reranker used.")
 
         return post_processors