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feat(RAG): support knowledgeSpace custom retrieve strategy #2842

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Merged
fangyinc merged 5 commits into from
Jul 21, 2025
Merged

feat(RAG): support knowledgeSpace custom retrieve strategy #2842

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2dd281e
feat(RAG): support knowledgeSpace custom retrieve strategy
chenliang15405 Jul 12, 2025
8d1c88d
Merge branch 'main' into feat_rag_retrieve_mode
chenliang15405 Jul 14, 2025
e63ad92
chore: rebuild static web file
chenliang15405 Jul 14, 2025
d2587be
Merge branch 'main' into feat_rag_retrieve_mode
chenliang15405 Jul 20, 2025
0811a83
chore: rebuild static web
chenliang15405 Jul 20, 2025
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11 changes: 11 additions & 0 deletions packages/dbgpt-app/src/dbgpt_app/knowledge/api.py
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Expand Up @@ -126,6 +126,17 @@ def space_delete(request: KnowledgeSpaceRequest):
return Result.failed(code="E000X", msg=f"space delete error {e}")


@router.post("/knowledge/retrieve_strategy_list")
async def retrieve_strategy_list():
try:
res = await blocking_func_to_async(
get_executor(), knowledge_space_service.get_retrieve_strategy_list
)
return Result.succ(res)
except Exception as e:
return Result.failed(code="E000X", msg=f"get retrieve strategy list error {e}")


@router.post("/knowledge/{space_id}/arguments")
async def arguments(space_id: str):
logger.info(f"/knowledge/{space_id}/arguments params: {space_id}")
Expand Down
13 changes: 12 additions & 1 deletion packages/dbgpt-app/src/dbgpt_app/knowledge/service.py
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Expand Up @@ -3,7 +3,7 @@
import re
import timeit
from datetime import datetime
from typing import List
from typing import Dict, List

from dbgpt._private.config import Config
from dbgpt.component import ComponentType
Expand Down Expand Up @@ -641,3 +641,14 @@ def query_graph(self, space_name, limit):
}
)
return res

def get_retrieve_strategy_list(self) -> List[Dict]:
"""get retrieve model list
retrieve strategy: dbgpt.rag.retriever.base.RetrieverStrategy
"""
return [
{"name": "SEMANTIC", "name_cn": "语义检索", "value": "SEMANTIC"},
{"name": "KEYWORD", "name_cn": "全文检索", "value": "KEYWORD"},
{"name": "Tree", "name_cn": "树形检索", "value": "Tree"},
{"name": "HYBRID", "name_cn": "混合检索", "value": "HYBRID"},
]
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<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width"/><meta name="next-head-count" content="2"/><link rel="icon" href="/favicon.ico"/><meta name="description" content="Revolutionizing Database Interactions with Private LLM Technology"/><meta property="og:description" content="eosphoros-ai"/><meta property="og:title" content="DB-GPT"/><link rel="preload" href="/_next/static/css/c09ab2c056586552.css" as="style"/><link rel="stylesheet" href="/_next/static/css/c09ab2c056586552.css" data-n-g=""/><noscript data-n-css=""></noscript><script defer="" nomodule="" src="/_next/static/chunks/polyfills-78c92fac7aa8fdd8.js"></script><script src="/_next/static/chunks/webpack-0026ba7f9cd5bba9.js" defer=""></script><script src="/_next/static/chunks/framework-8b06d32cbb857e0e.js" defer=""></script><script src="/_next/static/chunks/main-6c4c7f5b8c9b1320.js" defer=""></script><script src="/_next/static/chunks/pages/_app-b5031b53afa0df7e.js" defer=""></script><script src="/_next/static/chunks/pages/_error-8095ba9e1bf12f30.js" defer=""></script><script src="/_next/static/gv0k09BrvWkKGZ4Em_Hmf/_buildManifest.js" defer=""></script><script src="/_next/static/gv0k09BrvWkKGZ4Em_Hmf/_ssgManifest.js" defer=""></script><link rel="stylesheet" href="/_next/static/css/antd-output/antd.min.7d5365b5.css"/></head><body><div id="__next"><div></div></div><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{"statusCode":404}},"page":"/_error","query":{},"buildId":"gv0k09BrvWkKGZ4Em_Hmf","nextExport":true,"isFallback":false,"gip":true,"scriptLoader":[]}</script></body></html>
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2 changes: 1 addition & 1 deletion packages/dbgpt-app/src/dbgpt_app/static/web/404/index.html
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<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width"/><meta name="next-head-count" content="2"/><link rel="icon" href="/favicon.ico"/><meta name="description" content="Revolutionizing Database Interactions with Private LLM Technology"/><meta property="og:description" content="eosphoros-ai"/><meta property="og:title" content="DB-GPT"/><link rel="preload" href="/_next/static/css/c09ab2c056586552.css" as="style"/><link rel="stylesheet" href="/_next/static/css/c09ab2c056586552.css" data-n-g=""/><noscript data-n-css=""></noscript><script defer="" nomodule="" src="/_next/static/chunks/polyfills-78c92fac7aa8fdd8.js"></script><script src="/_next/static/chunks/webpack-0026ba7f9cd5bba9.js" defer=""></script><script src="/_next/static/chunks/framework-8b06d32cbb857e0e.js" defer=""></script><script src="/_next/static/chunks/main-6c4c7f5b8c9b1320.js" defer=""></script><script src="/_next/static/chunks/pages/_app-b5031b53afa0df7e.js" defer=""></script><script src="/_next/static/chunks/pages/_error-8095ba9e1bf12f30.js" defer=""></script><script src="/_next/static/gv0k09BrvWkKGZ4Em_Hmf/_buildManifest.js" defer=""></script><script src="/_next/static/gv0k09BrvWkKGZ4Em_Hmf/_ssgManifest.js" defer=""></script><link rel="stylesheet" href="/_next/static/css/antd-output/antd.min.7d5365b5.css"/></head><body><div id="__next"><div></div></div><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{"statusCode":404}},"page":"/_error","query":{},"buildId":"gv0k09BrvWkKGZ4Em_Hmf","nextExport":true,"isFallback":false,"gip":true,"scriptLoader":[]}</script></body></html>
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