chore: update docs and use standard as the default storageclass

Signed-off-by: bjwswang <bjwswang@gmail.com>

README.md

@@ -8,9 +8,6 @@
     <a href="https://goreportcard.com/report/github.com/kubeagi/arcadia">
       <img alt="Go Report Card" src="https://goreportcard.com/badge/kubeagi/arcadia?style=flat-square" />
     </a>
-    <a href="https://github.com/pylint-dev/pylint">
-      <img alt="Pylint Card" src="https://github.com/kubeagi/arcadia/actions/workflows/pypi_lint/badge.svg" />
-    </a>
     <a href="https://github.com/psf/black">
       <img alt="CodeStyle" src="https://img.shields.io/badge/code%20style-black-000000.svg" />
     </a>
@@ -78,22 +75,20 @@ List of supported(tested) LLMs
 
 ## Pure Go Toolchains
 
-To enhance the AI capability in Golang, we developed some packages.Here are the examples of how to use them.
+Thanks to [langchaingo](https://github.com/tmc/langchaingo),we can have comprehensive AI capability in Golang!But in order to meet our own unique needs, we have further developed a number of other toolchains:
+
+- [Optimized DocumentLoaders](https://github.com/kubeagi/arcadia/tree/main/pkg/documentloaders): optimized csv,etc...
+- [Extended LLMs](https://github.com/kubeagi/arcadia/tree/main/pkg/llms): zhipuai,dashscope,etc...
+- [Tools](https://github.com/kubeagi/arcadia/tree/main/pkg/tools): bingsearch,weather,etc...
+- [AppRuntime](https://github.com/kubeagi/arcadia/tree/main/pkg/appruntime): powerful node(LLM,Chain,KonwledgeBase,vectorstore,Agent,etc...) orchestration runtime for arcadia
 
-- [chat_with_document](https://github.com/kubeagi/arcadia/tree/main/examples/chat_with_document): a chat server which allows you to chat with your document
-- [embedding](https://github.com/kubeagi/arcadia/tree/main/examples/embedding) shows how to embedes your document to vector store with embedding service
-- [rbac](https://github.com/kubeagi/arcadia/blob/main/examples/rbac/main.go) shows how to inquiry the security risks in your RBAC with AI.
-- [zhipuai](https://github.com/kubeagi/arcadia/blob/main/examples/zhipuai/main.go) shows how to use this [zhipuai client](https://github.com/kubeagi/arcadia/tree/main/pkg/llms/zhipuai)
-- [dashscope](https://github.com/kubeagi/arcadia/blob/main/examples/dashscope/main.go) shows how to use this [dashscope client](https://github.com/kubeagi/arcadia/tree/main/pkg/llms/dashscope) to chat with qwen-7b-chat / qwen-14b-chat / llama2-7b-chat-v2 / llama2-13b-chat-v2 and use embedding with dashscope text-embedding-v1 / text-embedding-async-v1
+We have provided some examples on how to use them. See more details at [here](https://github.com/kubeagi/arcadia/tree/main/examples)
 
 ## CLI
 
 We provide a Command Line Tool `arctl` to interact with `arcadia`. See [here](http://kubeagi.k8s.com.cn/docs/Tools/arctl-tool) for more details.
 
 - ✅ datasource management
-- ✅ local dataset management
-- ✅ chat & completion
-- ✅ download files from datasource
 - ✅ RAG evaluation
 
 ## Contribute to Arcadia

deploy/charts/arcadia/Chart.yaml

@@ -1,8 +1,8 @@
 apiVersion: v2
 name: arcadia
-description: A Helm chart(KubeBB Component) for KubeAGI Arcadia
+description: A Helm chart(Also a KubeBB Component) for KubeAGI Arcadia
 type: application
-version: 0.2.33
+version: 0.2.34
 appVersion: "0.1.0"
 
 keywords:

deploy/charts/arcadia/values.yaml

@@ -61,7 +61,7 @@ fastchat:
     enabled: true
     host: fastchat-api.<replaced-ingress-nginx-ip>.nip.io
 
-# @section oss is used as default Object-Storage-Service for arcadia
+# @section minio is used as default Object-Storage-Service for arcadia
 minio:
   image:
     repository: kubeagi/minio
@@ -71,7 +71,7 @@ minio:
   rootPassword: "Passw0rd!"
   persistence:
     enabled: true
-    storageClass: "openebs-hostpath"
+    storageClass: "standard"
     size: 30Gi
   ingress:
     enabled: true
@@ -104,19 +104,6 @@ minio:
       # bucket [true|false] NOTE: versioning is enabled by default if you use locking
       objectlocking: false
 
-# @section chromadb is used to deploy a chromadb instance
-chromadb:
-  enabled: false
-  image:
-    repository: kubeagi/chromadb
-  chromadb:
-    apiVersion: "0.4.18"
-    auth:
-      enabled: false
-    serverHttpPort: 8000
-    dataVolumeStorageClass: "openebs-hostpath"
-    dataVolumeSize: "1Gi"
-
 # @section dataprocess is used to configure data processing service
 # Related project: https://github.com/kubeagi/arcadia/tree/main/data-processing
 dataprocess:
@@ -131,11 +118,11 @@ dataprocess:
 # Posgresql service will be used in two parts:
 # - dataprocessing
 # - llm application
-# - used as vector store with pgvector enabled
+# - used as vector store with pgvector enabled(Recommended)
 postgresql:
   enabled: true
   global:
-    storageClass: "openebs-hostpath"
+    storageClass: "standard"
     postgresql:
       auth:
         # default username and password
@@ -153,6 +140,19 @@ postgresql:
     initdb:
       scriptsConfigMap: pg-init-data
 
+# @section chromadb is used to deploy a chromadb instance
+chromadb:
+  enabled: false
+  image:
+    repository: kubeagi/chromadb
+  chromadb:
+    apiVersion: "0.4.18"
+    auth:
+      enabled: false
+    serverHttpPort: 8000
+    dataVolumeStorageClass: "standard"
+    dataVolumeSize: "1Gi"
+
 # @section ray is a unified framework for scaling AI and Python applications.In kubeagi,we use ray for distributed inference
 ray:
   # clusters provided by ray

examples/README.md

@@ -0,0 +1,9 @@
+# Examples in arcadia
+
+- [chat_with_worker](https://github.com/kubeagi/arcadia/tree/main/examples/chat_with_document): a chat server which allows you to chat with the help of the model services deployed in kubeagi
+- [chat_with_document](https://github.com/kubeagi/arcadia/tree/main/examples/chat_with_document): a chat server which allows you to chat with your document
+- [zhipuai](https://github.com/kubeagi/arcadia/blob/main/examples/zhipuai/main.go) shows how to use this [zhipuai client](https://github.com/kubeagi/arcadia/tree/main/pkg/llms/zhipuai)
+- [dashscope](https://github.com/kubeagi/arcadia/blob/main/examples/dashscope/main.go) shows how to use this [dashscope client](https://github.com/kubeagi/arcadia/tree/main/pkg/llms/dashscope) to chat with qwen-7b-chat / qwen-14b-chat / llama2-7b-chat-v2 / llama2-13b-chat-v2 and use embedding with dashscope text-embedding-v1 / text-embedding-async-v1
+- [embedding](https://github.com/kubeagi/arcadia/tree/main/examples/embedding) shows how to embedes your document to vector store with embedding service
+- [rbac](https://github.com/kubeagi/arcadia/blob/main/examples/rbac/main.go) shows how to inquiry the security risks in your RBAC with AI.
+- [beijing_gjj_bot](https://github.com/kubeagi/arcadia/tree/main/examples/beijing_gjj_bot) show how to build a chatgpt specialized for Beijing Provident Fund regulations