@@ -117,16 +166,16 @@ Is the architecture of the entire DB-GPT shown in the following figure:
The core capabilities mainly consist of the following parts: -1. Knowledge base capability: Supports private domain knowledge base question-answering capability. -2. Large-scale model management capability: Provides a large model operating environment based on FastChat. -3. Unified data vector storage and indexing: Provides a uniform way to store and index various data types. -4. Connection module: Used to connect different modules and data sources to achieve data flow and interaction. -5. Agent and plugins: Provides Agent and plugin mechanisms, allowing users to customize and enhance the system's behavior. -6. Prompt generation and optimization: Automatically generates high-quality prompts and optimizes them to improve system response efficiency. -7. Multi-platform product interface: Supports various client products, such as web, mobile applications, and desktop applications. +1. Multi-Models: Support multi-LLMs, such as LLaMA/LLaMA2、CodeLLaMA、ChatGLM, QWen、Vicuna and proxy model ChatGPT、Baichuan、tongyi、wenxin etc +2. Knowledge Based QA: You can perform high-quality intelligent Q&A based on local documents such as pdf, word, excel and other data. +3. Embedding: Unified data vector storage and indexing, Embed data as vectors and store them in vector databases, providing content similarity search. +4. Multi-Datasources: Used to connect different modules and data sources to achieve data flow and interaction. +5. Multi-Agents: Provides Agent and plugin mechanisms, allowing users to customize and enhance the system's behavior. +6. Privacy & Secure: You can be assured that there is no risk of data leakage, and your data is 100% private and secure. +7. Text2SQL: We enhance the Text-to-SQL performance by applying Supervised Fine-Tuning (SFT) on large language models ### SubModule -- [DB-GPT-Hub](https://github.com/eosphoros-ai/DB-GPT-Hub) Text-to-SQL parsing with LLMs +- [DB-GPT-Hub](https://github.com/eosphoros-ai/DB-GPT-Hub) Text-to-SQL performance by applying Supervised Fine-Tuning (SFT) on large language models. - [DB-GPT-Plugins](https://github.com/eosphoros-ai/DB-GPT-Plugins) DB-GPT Plugins, Can run autogpt plugin directly - [DB-GPT-Web](https://github.com/eosphoros-ai/DB-GPT-Web) ChatUI for DB-GPT @@ -155,122 +204,81 @@ The core capabilities mainly consist of the following parts: ### KBQA RAG optimization -- [] KnownledgeGraph +- [x] Multi Documents + - [x] PDF + - [x] Excel, csv + - [x] Word + - [x] Text + - [x] MarkDown + - [ ] Code + - [ ] Images + +- [x]RAG +- [ ]KnownledgeGraph ### Multi Datasource Support -| DataSource | support | Notes | -| ------------------------------------------------------------------------------ | ----------- | ------------------------------------------- | -| [MySQL](https://www.mysql.com/) | Yes | | -| [PostgresSQL](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 | + +- Multi Datasource Support + - [x]MySQL + - [x]PostgresSQL + - [x]Spark + - [x]DuckDB + - [x]Sqlite + - [x]MSSQL + - [x]ClickHouse + - [ ]Oracle + - [ ]Redis + - [ ]MongoDB + - [ ]HBase + - [ ]Doris + - [ ]DB2 + - [ ]Couchbase + - [ ]Elasticsearch + - [ ]OceanBase + - [ ]TiDB + - [ ]StarRocks ### Multi-Models And vLLM -- [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) -- [baichuan2-7b/baichuan2-13b](https://huggingface.co/baichuan-inc) -- [internlm/internlm-chat-7b](https://huggingface.co/internlm/internlm-chat-7b) -- [Qwen/Qwen-7B-Chat/Qwen-14B-Chat](https://huggingface.co/Qwen/) -- [Vicuna](https://huggingface.co/Tribbiani/vicuna-13b) -- [BlinkDL/RWKV-4-Raven](https://huggingface.co/BlinkDL/rwkv-4-raven) -- [camel-ai/CAMEL-13B-Combined-Data](https://huggingface.co/camel-ai/CAMEL-13B-Combined-Data) -- [databricks/dolly-v2-12b](https://huggingface.co/databricks/dolly-v2-12b) -- [FreedomIntelligence/phoenix-inst-chat-7b](https://huggingface.co/FreedomIntelligence/phoenix-inst-chat-7b) -- [h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-7b](https://huggingface.co/h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-7b) -- [lcw99/polyglot-ko-12.8b-chang-instruct-chat](https://huggingface.co/lcw99/polyglot-ko-12.8b-chang-instruct-chat) -- [lmsys/fastchat-t5-3b-v1.0](https://huggingface.co/lmsys/fastchat-t5) -- [mosaicml/mpt-7b-chat](https://huggingface.co/mosaicml/mpt-7b-chat) -- [Neutralzz/BiLLa-7B-SFT](https://huggingface.co/Neutralzz/BiLLa-7B-SFT) -- [nomic-ai/gpt4all-13b-snoozy](https://huggingface.co/nomic-ai/gpt4all-13b-snoozy) -- [NousResearch/Nous-Hermes-13b](https://huggingface.co/NousResearch/Nous-Hermes-13b) -- [openaccess-ai-collective/manticore-13b-chat-pyg](https://huggingface.co/openaccess-ai-collective/manticore-13b-chat-pyg) -- [OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5](https://huggingface.co/OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5) -- [project-baize/baize-v2-7b](https://huggingface.co/project-baize/baize-v2-7b) -- [Salesforce/codet5p-6b](https://huggingface.co/Salesforce/codet5p-6b) -- [StabilityAI/stablelm-tuned-alpha-7b](https://huggingface.co/stabilityai/stablelm-tuned-alpha-7b) -- [THUDM/chatglm-6b](https://huggingface.co/THUDM/chatglm-6b) -- [THUDM/chatglm2-6b](https://huggingface.co/THUDM/chatglm2-6b) -- [tiiuae/falcon-40b](https://huggingface.co/tiiuae/falcon-40b) -- [timdettmers/guanaco-33b-merged](https://huggingface.co/timdettmers/guanaco-33b-merged) -- [togethercomputer/RedPajama-INCITE-7B-Chat](https://huggingface.co/togethercomputer/RedPajama-INCITE-7B-Chat) -- [WizardLM/WizardLM-13B-V1.0](https://huggingface.co/WizardLM/WizardLM-13B-V1.0) -- [WizardLM/WizardCoder-15B-V1.0](https://huggingface.co/WizardLM/WizardCoder-15B-V1.0) -- [baichuan-inc/baichuan-7B](https://huggingface.co/baichuan-inc/baichuan-7B) -- [HuggingFaceH4/starchat-beta](https://huggingface.co/HuggingFaceH4/starchat-beta) -- [FlagAlpha/Llama2-Chinese-13b-Chat](https://huggingface.co/FlagAlpha/Llama2-Chinese-13b-Chat) -- [BAAI/AquilaChat-7B](https://huggingface.co/BAAI/AquilaChat-7B) -- [all models of OpenOrca](https://huggingface.co/Open-Orca) -- [Spicyboros](https://huggingface.co/jondurbin/spicyboros-7b-2.2?not-for-all-audiences=true) + [airoboros 2.2](https://huggingface.co/jondurbin/airoboros-l2-13b-2.2) -- [VMware's OpenLLaMa OpenInstruct](https://huggingface.co/VMware/open-llama-7b-open-instruct) +- [x] [cluster deployment](https://db-gpt.readthedocs.io/en/latest/getting_started/install/cluster/vms/index.html) +- [x] [fastchat support](https://github.com/lm-sys/FastChat) +- [x] [vLLM support](https://db-gpt.readthedocs.io/en/latest/getting_started/install/llm/vllm/vllm.html) ### Agents market and Plugins -- multi-agents framework -- custom plugin development -- plugin market +- [x] multi-agents framework +- [x] custom plugin development +- [ ] plugin market + +### Cost and Observability +- [x] [debugging](https://db-gpt.readthedocs.io/en/latest/getting_started/observability.html) +- [ ] Observability ### Text2SQL Finetune +- support llms + - [x]LLaMA + - [x]LLaMA-2 + - [x]BLOOM + - [x]BLOOMZ + - [x]Falcon + - [x]Baichuan + - [x]Baichuan2 + - [x]InternLM + - [x]Qwen + - [x]XVERSE + - [x]ChatGLM2 -| LLMs | Size | Module | Template | -| -------------------------------------------------------- | --------------------------- | ----------------- |----------| -| [LLaMA](https://github.com/facebookresearch/llama) | 7B/13B/33B/65B | q_proj,v_proj | - | -| [LLaMA-2](https://huggingface.co/meta-llama) | 7B/13B/70B | q_proj,v_proj | llama2 | -| [BLOOM](https://huggingface.co/bigscience/bloom) | 560M/1.1B/1.7B/3B/7.1B/176B | query_key_value | - | -| [BLOOMZ](https://huggingface.co/bigscience/bloomz) | 560M/1.1B/1.7B/3B/7.1B/176B | query_key_value | - | -| [Falcon](https://huggingface.co/tiiuae/falcon-7b) | 7B/40B | query_key_value | - | -| [Baichuan](https://github.com/baichuan-inc/baichuan-13B) | 7B/13B | W_pack | baichuan | -| [Baichuan2](https://github.com/baichuan-inc/Baichuan2) | 7B/13B | W_pack | baichuan2 | -| [InternLM](https://github.com/InternLM/InternLM) | 7B | q_proj,v_proj | intern | -| [Qwen](https://github.com/QwenLM/Qwen-7B) | 7B | c_attn | chatml | -| [XVERSE](https://github.com/xverse-ai/XVERSE-13B) | 13B | q_proj,v_proj | xverse | -| [ChatGLM2](https://github.com/THUDM/ChatGLM2-6B) | 6B | query_key_value | chatglm2 | +- SFT Accuracy +As of October 10, 2023, by fine-tuning an open-source model of 13 billion parameters using this project, the execution accuracy on the Spider evaluation dataset has surpassed that of GPT-4! -Datasets -| Datasets | License | Link | -| ---------------------- | ------------ | -------------------------------------------------------------------------------------------------------------------- | -| academic | Not Found | [https://github.com/jkkummerfeld/text2sql-data](https://github.com/jkkummerfeld/text2sql-data) | -| advising | CC-BY-4.0 | [https://github.com/jkkummerfeld/text2sql-data](https://github.com/jkkummerfeld/text2sql-data) | -| atis | Not Found | [https://github.com/jkkummerfeld/text2sql-data](https://github.com/jkkummerfeld/text2sql-data) | -| restaurants | Not Found | [https://github.com/jkkummerfeld/text2sql-data](https://github.com/jkkummerfeld/text2sql-data) | -| scholar | Not Found | [https://github.com/jkkummerfeld/text2sql-data](https://github.com/jkkummerfeld/text2sql-data) | -| imdb | Not Found | [https://github.com/jkkummerfeld/text2sql-data](https://github.com/jkkummerfeld/text2sql-data) | -| yelp | Not Found | [https://github.com/jkkummerfeld/text2sql-data](https://github.com/jkkummerfeld/text2sql-data) | -| criteria2sql | Apache-2.0 | [https://github.com/xiaojingyu92/Criteria2SQL](https://github.com/xiaojingyu92/Criteria2SQL) | -| css | CC-BY-4.0 | [https://huggingface.co/datasets/zhanghanchong/css](https://huggingface.co/datasets/zhanghanchong/css) | -| eICU | CC-BY-4.0 | [https://github.com/glee4810/EHRSQL](https://github.com/glee4810/EHRSQL) | -| mimic_iii | CC-BY-4.0 | [https://github.com/glee4810/EHRSQL](https://github.com/glee4810/EHRSQL) | -| geonucleardata | CC-BY-SA-4.0 | [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) | -| greatermanchestercrime | CC-BY-SA-4.0 | [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) | -| studentmathscore | CC-BY-SA-4.0 | [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) | -| thehistoryofbaseball | CC-BY-SA-4.0 | [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) | -| uswildfires | CC-BY-SA-4.0 | [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) | -| whatcdhiphop | CC-BY-SA-4.0 | [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) | -| worldsoccerdatabase | CC-BY-SA-4.0 | [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) | -| pesticide | CC-BY-SA-4.0 | [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) | -| mimicsql_data | MIT | [https://github.com/wangpinggl/TREQS](https://github.com/wangpinggl/TREQS) | -| nvbench | MIT | [https://github.com/TsinghuaDatabaseGroup/nvBench](https://github.com/TsinghuaDatabaseGroup/nvBench) | -| sede | Apache-2.0 | [https://github.com/hirupert/sede](https://github.com/hirupert/sede) | -| spider | CC-BY-SA-4.0 | [https://huggingface.co/datasets/spider](https://huggingface.co/datasets/spider) | -| sql_create_context | CC-BY-4.0 | [https://huggingface.co/datasets/b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context) | -| squall | CC-BY-SA-4.0 | [https://github.com/tzshi/squall](https://github.com/tzshi/squall) | -| wikisql | BSD 3-Clause | [https://github.com/salesforce/WikiSQL](https://github.com/salesforce/WikiSQL) | -| BIRD | Not Found | https://bird-bench.github.io/ | -| CHASE | MIT LICENSE | https://xjtu-intsoft.github.io/chase/ | -| cosql | Not Found | https://yale-lily.github.io/cosql/ | - +| name | Execution Accuracy | reference | +| ----------------------------------| ------------------ | ------------------------------------------------------------------------------------------------------------------------------ | +| **GPT-4** | **0.762** | [numbersstation-eval-res](https://www.numbersstation.ai/post/nsql-llama-2-7b) | +| ChatGPT | 0.728 | [numbersstation-eval-res](https://www.numbersstation.ai/post/nsql-llama-2-7b) | +| **CodeLlama-13b-Instruct-hf_lora**| **0.789** | sft train by our this project,only used spider train dataset ,the same eval way in this project with lora SFT | +| CodeLlama-13b-Instruct-hf_qlora | 0.774 | sft train by our this project,only used spider train dataset ,the same eval way in this project with qlora and nf4,bit4 SFT | +| wizardcoder | 0.610 | [text-to-sql-wizardcoder](https://github.com/cuplv/text-to-sql-wizardcoder/tree/main) | +| CodeLlama-13b-Instruct-hf | 0.556 | eval in this project default param | +| llama2_13b_hf_lora_best | 0.744 | sft train by our this project,only used spider train dataset ,the same eval way in this project | [More Information about Text2SQL finetune](https://github.com/eosphoros-ai/DB-GPT-Hub) diff --git a/README.zh.md b/README.zh.md index a8bc66435..6d4386a6c 100644 --- a/README.zh.md +++ b/README.zh.md @@ -117,22 +117,75 @@ DB-GPT 是一个开源的以数据库为基础的GPT实验项目，使用本地 - 插件模型 - 知识库统一向量存储/索引 - 非结构化数据支持包括PDF、MarkDown、CSV、WebURL -- 多模型支持 +- 多模型支持与管理 - 支持多种大语言模型, 当前已支持如下模型: - - 🔥 InternLM(7b,20b) - - 🔥 Baichuan2(7b,13b) - - 🔥 Vicuna-v1.5(7b,13b) - - 🔥 llama-2(7b,13b,70b) - - WizardLM-v1.2(13b) - - Vicuna (7b,13b) - - ChatGLM-6b (int4,int8) - - ChatGLM2-6b (int4,int8) - - guanaco(7b,13b,33b) - - Gorilla(7b,13b) - - baichuan(7b,13b) + - [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) + - [baichuan2-7b/baichuan2-13b](https://huggingface.co/baichuan-inc) + - [internlm/internlm-chat-7b](https://huggingface.co/internlm/internlm-chat-7b) + - [Qwen/Qwen-7B-Chat/Qwen-14B-Chat](https://huggingface.co/Qwen/) + - [Vicuna](https://huggingface.co/Tribbiani/vicuna-13b) + - [BlinkDL/RWKV-4-Raven](https://huggingface.co/BlinkDL/rwkv-4-raven) + - [camel-ai/CAMEL-13B-Combined-Data](https://huggingface.co/camel-ai/CAMEL-13B-Combined-Data) + - [databricks/dolly-v2-12b](https://huggingface.co/databricks/dolly-v2-12b) + - [FreedomIntelligence/phoenix-inst-chat-7b](https://huggingface.co/FreedomIntelligence/phoenix-inst-chat-7b) + - [h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-7b](https://huggingface.co/h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-7b) + - [lcw99/polyglot-ko-12.8b-chang-instruct-chat](https://huggingface.co/lcw99/polyglot-ko-12.8b-chang-instruct-chat) + - [lmsys/fastchat-t5-3b-v1.0](https://huggingface.co/lmsys/fastchat-t5) + - [mosaicml/mpt-7b-chat](https://huggingface.co/mosaicml/mpt-7b-chat) + - [Neutralzz/BiLLa-7B-SFT](https://huggingface.co/Neutralzz/BiLLa-7B-SFT) + - [nomic-ai/gpt4all-13b-snoozy](https://huggingface.co/nomic-ai/gpt4all-13b-snoozy) + - [NousResearch/Nous-Hermes-13b](https://huggingface.co/NousResearch/Nous-Hermes-13b) + - [openaccess-ai-collective/manticore-13b-chat-pyg](https://huggingface.co/openaccess-ai-collective/manticore-13b-chat-pyg) + - [OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5](https://huggingface.co/OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5) + - [project-baize/baize-v2-7b](https://huggingface.co/project-baize/baize-v2-7b) + - [Salesforce/codet5p-6b](https://huggingface.co/Salesforce/codet5p-6b) + - [StabilityAI/stablelm-tuned-alpha-7b](https://huggingface.co/stabilityai/stablelm-tuned-alpha-7b) + - [THUDM/chatglm-6b](https://huggingface.co/THUDM/chatglm-6b) + - [THUDM/chatglm2-6b](https://huggingface.co/THUDM/chatglm2-6b) + - [tiiuae/falcon-40b](https://huggingface.co/tiiuae/falcon-40b) + - [timdettmers/guanaco-33b-merged](https://huggingface.co/timdettmers/guanaco-33b-merged) + - [togethercomputer/RedPajama-INCITE-7B-Chat](https://huggingface.co/togethercomputer/RedPajama-INCITE-7B-Chat) + - [WizardLM/WizardLM-13B-V1.0](https://huggingface.co/WizardLM/WizardLM-13B-V1.0) + - [WizardLM/WizardCoder-15B-V1.0](https://huggingface.co/WizardLM/WizardCoder-15B-V1.0) + - [baichuan-inc/baichuan-7B](https://huggingface.co/baichuan-inc/baichuan-7B) + - [HuggingFaceH4/starchat-beta](https://huggingface.co/HuggingFaceH4/starchat-beta) + - [FlagAlpha/Llama2-Chinese-13b-Chat](https://huggingface.co/FlagAlpha/Llama2-Chinese-13b-Chat) + - [BAAI/AquilaChat-7B](https://huggingface.co/BAAI/AquilaChat-7B) + - [all models of OpenOrca](https://huggingface.co/Open-Orca) + - [Spicyboros](https://huggingface.co/jondurbin/spicyboros-7b-2.2?not-for-all-audiences=true) + [airoboros 2.2](https://huggingface.co/jondurbin/airoboros-l2-13b-2.2) + - [VMware's OpenLLaMa OpenInstruct](https://huggingface.co/VMware/open-llama-7b-open-instruct) + +- 支持在线代理模型 + - [x] ChatGPT + - [x] Tongyi + - [x] Wenxin + - [x] ChatGLM + + +- 支持数据源 +| DataSource | support | Notes | +| ------------------------------------------------------------------------------ | ----------- | ------------------------------------------- | +| [MySQL](https://www.mysql.com/) | Yes | | +| [PostgresSQL](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 | ## 架构方案 -DB-GPT基于 [FastChat](https://github.com/lm-sys/FastChat) 构建大模型运行环境，并提供 vicuna 作为基础的大语言模型。此外，我们通过LangChain提供私域知识库问答能力。同时我们支持插件模式, 在设计上原生支持Auto-GPT插件。我们的愿景是让围绕数据库和LLM构建应用程序更加简便和便捷。 +DB-GPT基于 [FastChat](https://github.com/lm-sys/FastChat) 构建大模型运行环境。此外，我们通过LangChain提供私域知识库问答能力。同时我们支持插件模式, 在设计上原生支持Auto-GPT插件。我们的愿景是让围绕数据库和LLM构建应用程序更加简便和便捷。 整个DB-GPT的架构，如下图所示 @@ -141,16 +194,16 @@ DB-GPT基于 [FastChat](https://github.com/lm-sys/FastChat) 构建大模型运 核心能力主要有以下几个部分。 -1. 知识库能力：支持私域知识库问答能力 -2. 大模型管理能力：基于FastChat提供一个大模型的运营环境。 -3. 统一的数据向量化存储与索引：提供一种统一的方式来存储和索引各种数据类型。 -4. 连接模块：用于连接不同的模块和数据源，实现数据的流转和交互。 -5. Agent与插件：提供Agent和插件机制，使得用户可以自定义并增强系统的行为。 -6. Prompt自动生成与优化：自动化生成高质量的Prompt，并进行优化，提高系统的响应效率。 -7. 多端产品界面：支持多种不同的客户端产品，例如Web、移动应用和桌面应用等。 +1. 多模型：支持多LLM，如LLaMA/LLaMA2、CodeLLaMA、ChatGLM、QWen、Vicuna以及代理模型ChatGPT、Baichuan、tongyi、wenxin等 +2. 私域知识库问答: 可以根据本地文档（如pdf、word、excel等数据）进行高质量的智能问答。 +3. 统一数据向量存储和索引: 将数据嵌入为向量并存储在向量数据库中，提供内容相似性搜索。 +4. 多数据源: 用于连接不同的模块和数据源，实现数据的流动和交互。 +5. Agent与插件: 提供Agent和插件机制，使得用户可以自定义并增强系统的行为。 +6. 隐私和安全: 您可以放心，没有数据泄露的风险，您的数据100%私密和安全。 +7. Text2SQL: 我们通过在大型语言模型监督微调（SFT）来增强文本到SQL的性能 ### 子模块 -- [DB-GPT-Hub](https://github.com/csunny/DB-GPT-Hub) 使用 LLM 进行文本到 SQL 解析 +- [DB-GPT-Hub](https://github.com/csunny/DB-GPT-Hub) 通过微调来持续提升Text2SQL效果 - [DB-GPT-Plugins](https://github.com/csunny/DB-GPT-Plugins) DB-GPT 插件仓库, 兼容Auto-GPT - [DB-GPT-Web](https://github.com/csunny/DB-GPT-Web) 多端交互前端界面 @@ -194,6 +247,84 @@ The MIT License (MIT)
+### 知识库RAG检索优化
+- [x] Multi Documents
+ - [x] PDF
+ - [x] Excel, csv
+ - [x] Word
+ - [x] Text
+ - [x] MarkDown
+ - [ ] Code
+ - [ ] Images
+- [x]RAG
+- [ ]KnownledgeGraph
+
+### 多数据源支持
+
+- 支持数据源
+ - [x]MySQL
+ - [x]PostgresSQL
+ - [x]Spark
+ - [x]DuckDB
+ - [x]Sqlite
+ - [x]MSSQL
+ - [x]ClickHouse
+ - [ ]Oracle
+ - [ ]Redis
+ - [ ]MongoDB
+ - [ ]HBase
+ - [ ]Doris
+ - [ ]DB2
+ - [ ]Couchbase
+ - [ ]Elasticsearch
+ - [ ]OceanBase
+ - [ ]TiDB
+ - [ ]StarRocks
+
+### 多模型管理与推理优化
+- [x] [集群部署](https://db-gpt.readthedocs.io/en/latest/getting_started/install/cluster/vms/index.html)
+- [x] [fastchat支持](https://github.com/lm-sys/FastChat)
+- [x] [vLLM 支持](https://db-gpt.readthedocs.io/en/latest/getting_started/install/llm/vllm/vllm.html)
+
+### Agents与插件市场
+- [x] 多Agents框架
+- [x] 自定义Agents
+- [ ] 插件市场
+
+### 成本与可观测性
+- [x] [debugging](https://db-gpt.readthedocs.io/en/latest/getting_started/observability.html)
+- [ ] 可观测性
+- [ ] 推理预算
+
+### Text2SQL微调
+- support llms
+ - [x]LLaMA
+ - [x]LLaMA-2
+ - [x]BLOOM
+ - [x]BLOOMZ
+ - [x]Falcon
+ - [x]Baichuan
+ - [x]Baichuan2
+ - [x]InternLM
+ - [x]Qwen
+ - [x]XVERSE
+ - [x]ChatGLM2
+
+- SFT模型准确率
+截止20231010，我们利用本项目基于开源的13B大小的模型微调后，在Spider的评估集上的执行准确率，已经超越GPT-4!
+
+| 模型名称 | 执行准确率 | 说明 |
+| ----------------------------------| ------------------ | ------------------------------------------------------------------------------------------------------------------------------ |
+| **GPT-4** | **0.762** | [numbersstation-eval-res](https://www.numbersstation.ai/post/nsql-llama-2-7b) |
+| ChatGPT | 0.728 | [numbersstation-eval-res](https://www.numbersstation.ai/post/nsql-llama-2-7b) |
+| **CodeLlama-13b-Instruct-hf_lora**| **0.789** | sft train by our this project,only used spider train dataset ,the same eval way in this project with lora SFT |
+| CodeLlama-13b-Instruct-hf_qlora | 0.774 | sft train by our this project,only used spider train dataset ,the same eval way in this project with qlora and nf4,bit4 SFT |
+| wizardcoder | 0.610 | [text-to-sql-wizardcoder](https://github.com/cuplv/text-to-sql-wizardcoder/tree/main) |
+| CodeLlama-13b-Instruct-hf | 0.556 | eval in this project default param |
+| llama2_13b_hf_lora_best | 0.744 | sft train by our this project,only used spider train dataset ,the same eval way in this project |
+
+[More Information about Text2SQL finetune](https://github.com/eosphoros-ai/DB-GPT-Hub)
+
## 联系我们
diff --git a/pilot/model/proxy/llms/tongyi.py b/pilot/model/proxy/llms/tongyi.py index 34aacff15..2b1a56e6e 100644 --- a/pilot/model/proxy/llms/tongyi.py +++ b/pilot/model/proxy/llms/tongyi.py @@ -34,7 +34,7 @@ def tongyi_generate_stream( elif message.role == ModelMessageRoleType.SYSTEM: history.append({"role": "system", "content": message.content}) elif message.role == ModelMessageRoleType.AI: - history.append({"role": "assistant", "content": message.content}) + history.append({"role": "system", "content": message.content}) else: pass @@ -49,7 +49,7 @@ def tongyi_generate_stream( history.remove(last_user_input) history.append(last_user_input) - print("history", history) + print(history) gen = Generation() res = gen.call( proxyllm_backend,