Closed taurusduan closed 1 year ago
这是什么向量模型?
这是什么工作模型?
开源LLM https://github.com/josStorer/RWKV-Runner 兼容gpt的模型,接入fastgpt后,可以正常对话。但是使用embeddings生成数据库的时候就卡住了。不知道是不是还要修改知识库这边的配置。谢谢啊。
要纬度统一
要纬度统一
大哥,请教一下在哪里修改纬度啊,谢谢啊
已支持自定义向量模型,参考最新发行版说明:https://github.com/labring/FastGPT/releases/tag/v4.2.1
我安装fastgpt给出的实例,替换了embeddings: { "FeConfig": { "show_emptyChat": true, "show_register": false, "show_appStore": false, "show_userDetail": false, "show_git": true, "systemTitle": "FastGPT", "authorText": "Made by FastGPT Team.", "gitLoginKey": "" }, "SystemParams": { "gitLoginSecret": "", "vectorMaxProcess": 15, "qaMaxProcess": 15, "pgIvfflatProbe": 20 }, "plugins": {}, "ChatModels": [ { "model": "gpt-3.5-turbo", "name": "GPT35-4k", "contextMaxToken": 4000, "quoteMaxToken": 2000, "maxTemperature": 1.2, "price": 0, "defaultSystem": "" }, { "model": "gpt-3.5-turbo-16k", "name": "GPT35-16k", "contextMaxToken": 16000, "quoteMaxToken": 8000, "maxTemperature": 1.2, "price": 0, "defaultSystem": "" }, { "model": "gpt-4", "name": "GPT4-8k", "contextMaxToken": 8000, "quoteMaxToken": 4000, "maxTemperature": 1.2, "price": 0, "defaultSystem": "" } ], "QAModels": [ { "model": "gpt-3.5-turbo-16k", "name": "GPT35-16k", "maxToken": 16000, "price": 0 } ], "VectorModels": [ { "model": "embeddings", "name": "Embedding-2", "price": 0 } ] }