Commit c31d247f by archer

feat: 知识库openapi

parent e903eb5b
......@@ -34,7 +34,7 @@ run: ## Run a dev service from host.
.PHONY: docker-build
docker-build: ## Build docker image with the desktop-frontend.
docker build -t c121914yu/fast-gpt:latest .
docker build -t c121914yu/fast-gpt:latest . --network host --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890
##@ Deployment
......
......@@ -10,7 +10,7 @@ import { ChatCompletionRequestMessage, ChatCompletionRequestMessageRoleEnum } fr
import { ChatItemType } from '@/types/chat';
import { jsonRes } from '@/service/response';
import { PassThrough } from 'stream';
import { modelList } from '@/constants/model';
import { modelList, ModelVectorSearchModeMap, ModelVectorSearchModeEnum } from '@/constants/model';
import { pushChatBill } from '@/service/events/pushBill';
import { connectRedis } from '@/service/redis';
import { VecModelDataPrefix } from '@/constants/redis';
......@@ -85,10 +85,12 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
});
// 搜索系统提示词, 按相似度从 redis 中搜出相关的 q 和 text
const similarity = ModelVectorSearchModeMap[model.search.mode]?.similarity || 0.22;
// 搜索系统提示词, 按相似度从 redis 中搜出相关的 q 和 text
const redisData: any[] = await redis.sendCommand([
'FT.SEARCH',
`idx:${VecModelDataPrefix}:hash`,
`@modelId:{${modelId}} @vector:[VECTOR_RANGE 0.22 $blob]=>{$YIELD_DISTANCE_AS: score}`,
`@modelId:{${modelId}} @vector:[VECTOR_RANGE ${similarity} $blob]=>{$YIELD_DISTANCE_AS: score}`,
'RETURN',
'1',
'text',
......@@ -120,7 +122,24 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
formatRedisPrompt.unshift(prompts.shift()?.value || '');
}
if (formatRedisPrompt.length > 0) {
/* 高相似度+退出,无法匹配时直接退出 */
if (
formatRedisPrompt.length === 0 &&
model.search.mode === ModelVectorSearchModeEnum.hightSimilarity
) {
return res.send('对不起,你的问题不在知识库中。');
}
/* 高相似度+无上下文,不添加额外知识 */
if (
formatRedisPrompt.length === 0 &&
model.search.mode === ModelVectorSearchModeEnum.noContext
) {
prompts.unshift({
obj: 'SYSTEM',
value: model.systemPrompt
});
} else {
// 有匹配或者低匹配度模式情况下,添加知识库内容。
// 系统提示词过滤,最多 2800 tokens
const systemPrompt = systemPromptFilter(formatRedisPrompt, 2800);
......@@ -130,8 +149,6 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
'YYYY/MM/DD HH:mm:ss'
)} ${systemPrompt}"`
});
} else {
return res.send('对不起,你的问题不在知识库中。');
}
// 控制在 tokens 数量,防止超出
......
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