From d9cc1020c1372a301e3adfe59b067319c5c35c2c Mon Sep 17 00:00:00 2001 From: "magic.chen" Date: Mon, 27 Nov 2023 20:54:27 +0800 Subject: [PATCH] docs: redirect documents to newdocs (#856) --- README.md | 76 ++++++------------------------------------------------- 1 file changed, 8 insertions(+), 68 deletions(-) diff --git a/README.md b/README.md index 524541209..4ee75a3b8 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,6 @@

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@@ -73,24 +72,11 @@ In the era of Data 3.0, enterprises and developers can take the ability to creat ![macOS](https://img.shields.io/badge/mac%20os-000000?style=for-the-badge&logo=macos&logoColor=F0F0F0) ![Windows](https://img.shields.io/badge/Windows-0078D6?style=for-the-badge&logo=windows&logoColor=white) -[**Usage Tutorial**](https://db-gpt.readthedocs.io/en/latest/getting_started/install/deploy/deploy.html) -- [**Install**](https://db-gpt.readthedocs.io/en/latest/getting_started/install/deploy.html) - - [**Install Step by Step**](https://db-gpt.readthedocs.io/en/latest/getting_started/install/deploy.html) - - [**Docker Install**](https://db-gpt.readthedocs.io/en/latest/getting_started/install/docker/docker.html) - - [**Docker Compose**](https://db-gpt.readthedocs.io/en/latest/getting_started/install/docker_compose/docker_compose.html) -- [**How to Use**](https://db-gpt.readthedocs.io/en/latest/getting_started/application/chatdb/chatdb.html) - - [**ChatData**](https://db-gpt.readthedocs.io/en/latest/getting_started/application/chatdb/chatdb.html) - - [**ChatKnowledge**](https://db-gpt.readthedocs.io/en/latest/getting_started/application/kbqa/kbqa.html) - - [**ChatExcel**](https://db-gpt.readthedocs.io/en/latest/getting_started/application/chatexcel/chatexcel.html) - - [**Dashboard**](https://db-gpt.readthedocs.io/en/latest/getting_started/application/dashboard/dashboard.html) - - [**LLM Management**](https://db-gpt.readthedocs.io/en/latest/getting_started/application/model/model.html) - - [**Chat Agent**](https://db-gpt.readthedocs.io/en/latest/getting_started/application/chatagent/chatagent.html) -- [**How to Deploy LLM**](https://db-gpt.readthedocs.io/en/latest/getting_started/install/cluster/cluster.html) - - [**Standalone**](https://db-gpt.readthedocs.io/en/latest/getting_started/install/cluster/vms/standalone.html) - - [**Cluster**](https://db-gpt.readthedocs.io/en/latest/getting_started/install/cluster/vms/index.html) - - [**vLLM**](https://db-gpt.readthedocs.io/en/latest/getting_started/install/llm/vllm/vllm.html) -- [**How to Debug**](https://db-gpt.readthedocs.io/en/latest/getting_started/observability.html) -- [**FAQ**](https://db-gpt.readthedocs.io/en/latest/getting_started/faq/deploy/deploy_faq.html) +[**Usage Tutorial**](http://docs.dbgpt.site/docs/overview) +- [**Install**](http://docs.dbgpt.site/docs/installation) +- [**Quickstart**](http://docs.dbgpt.site/docs/quickstart) +- [**Application**](http://docs.dbgpt.site/docs/operation_manual) +- [**Debugging**](http://docs.dbgpt.site/docs/operation_manual/advanced_tutorial/debugging) ## Features @@ -114,61 +100,15 @@ At present, we have introduced several key features to showcase our current capa - **SMMF(Service-oriented Multi-model Management Framework)** - We offer extensive model support, including dozens of large language models (LLMs) from both open-source and API agents, such as LLaMA/LLaMA2, Baichuan, ChatGLM, Wenxin, Tongyi, Zhipu, and many more. - - - [Vicuna](https://huggingface.co/Tribbiani/vicuna-13b) - - [vicuna-13b-v1.5](https://huggingface.co/lmsys/vicuna-13b-v1.5) - - [LLama2](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) - - [baichuan2-13b](https://huggingface.co/baichuan-inc/Baichuan2-13B-Chat) - - [baichuan2-7b](https://huggingface.co/baichuan-inc/Baichuan2-7B-Chat) - - [chatglm-6b](https://huggingface.co/THUDM/chatglm-6b) - - [chatglm2-6b](https://huggingface.co/THUDM/chatglm2-6b) - - [chatglm3-6b](https://huggingface.co/THUDM/chatglm3-6b) - - [falcon-40b](https://huggingface.co/tiiuae/falcon-40b) - - [internlm-chat-7b](https://huggingface.co/internlm/internlm-chat-7b) - - [internlm-chat-20b](https://huggingface.co/internlm/internlm-chat-20b) - - [qwen-7b-chat](https://huggingface.co/Qwen/Qwen-7B-Chat) - - [qwen-14b-chat](https://huggingface.co/Qwen/Qwen-14B-Chat) - - [wizardlm-13b](https://huggingface.co/WizardLM/WizardLM-13B-V1.2) - - [orca-2-7b](https://huggingface.co/microsoft/Orca-2-7b) - - [orca-2-13b](https://huggingface.co/microsoft/Orca-2-13b) - - [openchat_3.5](https://huggingface.co/openchat/openchat_3.5) - - [zephyr-7b-alpha](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha) - - [mistral-7b-instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) - - [Yi-34B-Chat](https://huggingface.co/01-ai/Yi-34B-Chat) - - - Support API Proxy LLMs - - [x] [ChatGPT](https://api.openai.com/) - - [x] [Tongyi](https://www.aliyun.com/product/dashscope) - - [x] [Wenxin](https://cloud.baidu.com/product/wenxinworkshop?track=dingbutonglan) - - [x] [ChatGLM](http://open.bigmodel.cn/) + We offer extensive model support, including dozens of large language models (LLMs) from both open-source and API agents, such as LLaMA/LLaMA2, Baichuan, ChatGLM, Wenxin, Tongyi, Zhipu, and many more. + - [Current Supported LLMs](http://docs.dbgpt.site/docs/modules/smmf) - **Privacy and Security** We ensure the privacy and security of data through the implementation of various technologies, including privatized large models and proxy desensitization. - Support Datasources - -| DataSource | support | Notes | -| ------------------------------------------------------------------------------ | ----------- | ------------------------------------------- | -| [MySQL](https://www.mysql.com/) | Yes | | -| [PostgreSQL](https://www.postgresql.org/) | Yes | | -| [Spark](https://github.com/apache/spark) | Yes | | -| [DuckDB](https://github.com/duckdb/duckdb) | Yes | | -| [Sqlite](https://github.com/sqlite/sqlite) | Yes | | -| [MSSQL](https://github.com/microsoft/mssql-jdbc) | Yes | | -| [ClickHouse](https://github.com/ClickHouse/ClickHouse) | Yes | | -| [Oracle](https://github.com/oracle) | No | TODO | -| [Redis](https://github.com/redis/redis) | No | TODO | -| [MongoDB](https://github.com/mongodb/mongo) | No | TODO | -| [HBase](https://github.com/apache/hbase) | No | TODO | -| [Doris](https://github.com/apache/doris) | No | TODO | -| [DB2](https://github.com/IBM/Db2) | No | TODO | -| [Couchbase](https://github.com/couchbase) | No | TODO | -| [Elasticsearch](https://github.com/elastic/elasticsearch) | No | TODO | -| [OceanBase](https://github.com/OceanBase) | No | TODO | -| [TiDB](https://github.com/pingcap/tidb) | No | TODO | -| [StarRocks](https://github.com/StarRocks/starrocks) | No | TODO | + - [Datasources](http://docs.dbgpt.site/docs/modules/connections) ## Introduction The architecture of DB-GPT is shown in the following figure: