infiniflow
[Question]: ERROR: ApiError(500, 'search_phase_execution_exception', 'Query contains too many nested clauses; maxClauseCount is set to 1277')
Describe your problem
2025-02-19日；拉取的最新的版本，docker部署。用的ollama本地部署的deepseek 32b模型。如果对话次数过多（测试了几次一般是4次左右）就会出现ERROR: ApiError(500, 'search_phase_execution_exception', 'Query contains too many nested clauses; maxClauseCount is set to 1277')。请问这个是什么问题，是 需要修改es的什么配置吗
遇到了同样的问题，但是我的报错中提示上限为5031。
- 尝试了在docker container中找到\usr\share\elasticsearch\config\elasticsearch.yml并且添加一行“indices.query.bool.max_clause_count=10240”，未能解决问题。
- 尝试了在ragflow\docker\docker-compose-base.yml中es01:environment中添加一行如上的描述，依旧未能解决问题。两次获得的报错是一样的。
我也遇到了同样的问题，我的上限显示为1700，不太清楚在哪里找error log 。error: apierror(500, 'search_phase_execution_exception', 'query contains too many nested clauses; maxclausecount is set to 1700')
Could you paste the error log of backend server here?
2025-02-18 17:26:45,378 ERROR 14 ESConnection.search ['ragflow_bf0138d8ed9a11efae120242ac120006'] query: {'query': {'bool': {'must': [{'query_string': {'fields': ['title_tks^10', 'title_sm_tks^5', 'important_kwd^30', 'important_tks^20', 'question_tks^20', 'content_ltks^2', 'content_sm_ltks'], 'type': 'best_fields', 'query': '(think^0.0029 "intend"^0.0007 "rememb"^0.0007) (okay^0.0030 "all"^0.0007 "right"^0.0007 "approv"^0.0007 "o"^0.0007) (tri^0.0029 ) (figur^0.0029 ) (approach^0.0029 "border"^0.0007 "on"^0.0007 "overtur"^0.0007 "access"^0.0007 "set"^0.0007 "about"^0.0007 "approach"^0.0007 "path"^0.0007) (thi^0.0029 ) (problem^0.0029 "troubl"^0.0007) (user^0.0029 "exploit"^0.0007 "drug"^0.0007 "user"^0.0007) (mention^0.0029 "note"^0.0007 "citat"^0.0007) (output^0.0029 "end"^0.0007 "product"^0.0007 "output"^0.0007 "signal"^0.0007) (but^0.0029 "mere"^0.0007) (provid^0.0029 ) (ani^0.0029 ) (specif^0.0029 ) (detail^0.0029 "conting"^0.0007) (about^0.0029 "approxim"^0.0007) (need^0.0029 "indig"^0.0007 "want"^0.0007 "necessit"^0.0007 "motiv"^0.0007) (help^0.0029 "aid"^0.0007 "assist"^0.0007 "avail"^0.0007 "serv"^0.0007 "help"^0.0007 "oneself"^0.0007) (with^0.0029 ) (hmm^0.0030 ) (that^0.0029 ) (bit^0.0029 "morsel"^0.0007 "bite"^0.0007 "act"^0.0007 "spot"^0.0007 "piec"^0.0007 "moment"^0.0007 "snatch"^0.0007 "sting"^0.0007) (confus^0.0029 ) (mayb^0.0029 ) (forgot^0.0029 "forget"^0.0007) (includ^0.0029 ) (actual^0.0029 ) (question^0.0029 "wonder"^0.0007 "interview"^0.0007 "interrog"^0.0007 "motion"^0.0007 "doubt"^0.0007) (task^0.0029 "undertak"^0.0007 "job"^0.0007 "tax"^0.0007) (alright^0.0030 "all"^0.0008 "right"^0.0008 "okay"^0.0008 "veri"^0.0008 "well"^0.0008) (let^0.0029 "leas"^0.0007 "lashkar"^0.0007 "e"^0.0007 "taiba"^0.0007 "permit"^0.0007 "get"^0.0007) (think^0.0029 "intend"^0.0007 "rememb"^0.0007) (about^0.0029 "approxim"^0.0007) (possibl^0.0029 ) (scenario^0.0030 ) (someon^0.0029 ) (might^0.0029 ) (say^0.0029 "read"^0.0007 "order"^0.0007 "suppos"^0.0007 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"print"^0.0007) (hello^0.0029 ) (world^0.0029 "earth"^0.0007 "global"^0.0007 "populac"^0.0007 "worldli"^0.0007 "concern"^0.0007 "univers"^0.0007) (exampl^0.0029 ) (gener^0.0029 ) (output^0.0029 "end"^0.0007 "product"^0.0007 "output"^0.0007 "signal"^0.0007) (that^0.0029 ) (way^0.0029 "mean"^0.0007 "manner"^0.0007 "room"^0.0007 "direct"^0.0007) (it^0.0000 "inform"^0.0000 "technolog"^0.0000) (demonstr^0.0029 ) (process^0.0029 "action"^0.0007 "march"^0.0007 "procedur"^0.0007 "work"^0.0007 "serv"^0.0007 "summon"^0.0007) (even^0.0029 "flush"^0.0007 "even"^0.0007 "tie"^0.0007) (without^0.0029 ) (specif^0.0029 ) (requir^0.0029 ) (altern^0.0029 ) (about^0.0029 "approxim"^0.0007) (data^0.0029 "datum"^0.0007) (format^0.0029 ) (might^0.0029 ) (explain^0.0029 "excus"^0.0007) (structur^0.0029 ) (json^0.0033 ) (csv^0.0031 ) (output^0.0029 "end"^0.0007 "product"^0.0007 "output"^0.0007 "signal"^0.0007) (properli^0.0030 ) (but^0.0029 "mere"^0.0007) (again^0.0029 ) (without^0.0029 ) (know^0.0029 "acknowledg"^0.0007 "sleep"^0.0007 "togeth"^0.0007) (specif^0.0029 ) (thi^0.0029 ) (specul^0.0030 ) (conclus^0.0029 ) (while^0.0029 ) (can^0.0029 "buttock"^0.0007 "toilet"^0.0007 "displac"^0.0007) (provid^0.0029 ) (precis^0.0029 "outlin"^0.0007) (solut^0.0029 ) (without^0.0029 ) (more^0.0029 ) (inform^0.0029 ) (offer^0.0029 "crack"^0.0007 "volunt"^0.0007 "put"^0.0007 "up"^0.0007 "propos"^0.0007 "extend"^0.0007) (exampl^0.0029 ) (ask^0.0029 "necessit"^0.0007) (clarif^0.0030 ) (most^0.0029 "about"^0.0007) (effect^0.0029 "impress"^0.0007 "consequ"^0.0007) (approach^0.0029 "border"^0.0007 "on"^0.0007 "overtur"^0.0007 "access"^0.0007 "set"^0.0007 "about"^0.0007 "approach"^0.0007 "path"^0.0007) (thi^0.0029 ) (ensur^0.0029 ) (that^0.0029 ) (ani^0.0029 ) (assist^0.0029 "aid"^0.0007 "serv"^0.0007 "help"^0.0007) (given^0.0029 "feed"^0.0007 "impart"^0.0007 "render"^0.0007 "move"^0.0007 "over"^0.0007 "establish"^0.0007 "grant"^0.0007 "contribut"^0.0007 "yield"^0.0007 "afford"^0.0007 "pa"^0.0007 "sacrific"^0.0007 "give"^0.0007 "collaps"^0.0007 "hold"^0.0007 "apt"^0.0007) (tailor^0.0030 "sew"^0.0007 "cut"^0.0007) (their^0.0029 ) (actual^0.0029 ) (need^0.0029 "indig"^0.0007 "want"^0.0007 "necessit"^0.0007 "motiv"^0.0007) (think^0.0029 "intend"^0.0007 "rememb"^0.0007) (address^0.0029 "savoir"^0.0007 "fair"^0.0007 "cover"^0.0007) (request^0.0029 ) (effect^0.0029 "impress"^0.0007 "consequ"^0.0007) (import^0.0029 "signific"^0.0007 "mean"^0.0007 "consequ"^0.0007 "spell"^0.0007) (clear^0.0029 "clear"^0.0007 "up"^0.0007 "author"^0.0007 "well"^0.0007 "defin"^0.0007 "clean"^0.0007 "open"^0.0007 "pa"^0.0007 "acquit"^0.0007 "unclutt"^0.0007 "gain"^0.0007 "net"^0.0007 "clearli"^0.0007 "absolv"^0.0007) (detail^0.0029 "conting"^0.0007) (about^0.0029 "approxim"^0.0007) (need^0.0029 "indig"^0.0007 "want"^0.0007 "necessit"^0.0007 "motiv"^0.0007) (help^0.0029 "aid"^0.0007 "assist"^0.0007 "avail"^0.0007 "serv"^0.0007 "help"^0.0007 "oneself"^0.0007) (with^0.0029 ) (howev^0.0029 ) (sinc^0.0029 ) (no^0.0000 "nobelium"^0.0000) (specif^0.0029 ) (task^0.0029 "undertak"^0.0007 "job"^0.0007 "tax"^0.0007) (provid^0.0029 ) (can^0.0029 "buttock"^0.0007 "toilet"^0.0007 "displac"^0.0007) (offer^0.0029 "crack"^0.0007 "volunt"^0.0007 "put"^0.0007 "up"^0.0007 "propos"^0.0007 "extend"^0.0007) (gener^0.0029 ) (exampl^0.0029 ) (relat^0.0029 ) (gener^0.0029 ) (output^0.0029 "end"^0.0007 "product"^0.0007 "output"^0.0007 "signal"^0.0007) (program^0.0029 "cours"^0.0007 "of"^0.0007 "studi"^0.0007 "broadcast"^0.0007 "platform"^0.0007 "plan"^0.0007) (here^0.0029 "hera"^0.0007) (simpl^0.0029 ) (python^0.0030 ) (script^0.0029 "handwrit"^0.0007) (that^0.0029 ) (print^0.0029 "mark"^0.0007 "photograph"^0.0007 "print"^0.0007) (hello^0.0029 ) (world^0.0029 "earth"^0.0007 "global"^0.0007 "populac"^0.0007 "worldli"^0.0007 "concern"^0.0007 "univers"^0.0007) (python^0.0030 ) (print^0.0029 "mark"^0.0007 "photograph"^0.0007 "print"^0.0007) (hello^0.0029 ) (world^0.0029 "earth"^0.0007 "global"^0.0007 "populac"^0.0007 "worldli"^0.0007 "concern"^0.0007 "univers"^0.0007) (differ^0.0029 "disagre"^0.0007) (task^0.0029 "undertak"^0.0007 "job"^0.0007 "tax"^0.0007) (need^0.0029 "indig"^0.0007 "want"^0.0007 "necessit"^0.0007 "motiv"^0.0007) (further^0.0029 "farther"^0.0007 "promot"^0.0007 "far"^0.0007 "foster"^0.0007) (assist^0.0029 "aid"^0.0007 "serv"^0.0007 "help"^0.0007) (provid^0.0029 ) (more^0.0029 ) (detail^0.0029 "conting"^0.0007) (can^0.0029 "buttock"^0.0007 "toilet"^0.0007 "displac"^0.0007) (help^0.0029 "aid"^0.0007 "assist"^0.0007 "avail"^0.0007 "serv"^0.0007 "help"^0.0007 "oneself"^0.0007) (better^0.0029 "adept"^0.0007 "depend"^0.0007 "bettor"^0.0007 "good"^0.0007 "estim"^0.0007 "well"^0.0007 "full"^0.0007 "dear"^0.0007 "effect"^0.0007 "benefici"^0.0007) "think okay"^0.0059 "okay tri"^0.0059 "tri figur"^0.0058 "figur approach"^0.0058 "approach thi"^0.0058 "thi problem"^0.0058 "problem user"^0.0058 "user mention"^0.0058 "mention output"^0.0058 "output but"^0.0058 "but provid"^0.0058 "provid ani"^0.0058 "ani specif"^0.0058 "specif detail"^0.0058 "detail about"^0.0058 "about need"^0.0058 "need help"^0.0058 "help with"^0.0058 "with hmm"^0.0061 "hmm that"^0.0061 "that bit"^0.0058 "bit confus"^0.0058 "confus mayb"^0.0058 "mayb forgot"^0.0058 "forgot includ"^0.0058 "includ actual"^0.0058 "actual question"^0.0058 "question task"^0.0058 "task alright"^0.0061 "alright let"^0.0061 "let think"^0.0058 "think about"^0.0058 "about possibl"^0.0058 "possibl scenario"^0.0059 "scenario someon"^0.0059 "someon might"^0.0058 "might say"^0.0058 "say output"^0.0058 "output it"^0.0058 "it could"^0.0058 "could relat"^0.0058 "relat program"^0.0058 "program like"^0.0058 "like gener"^0.0058 "gener some"^0.0058 "some output"^0.0058 "output from"^0.0058 "from code"^0.0058 "code perhap"^0.0058 "perhap about"^0.0058 "about data"^0.0058 "data process"^0.0058 "process need"^0.0058 "need specif"^0.0058 "specif result"^0.0058 "result format"^0.0058 "format certain"^0.0058 "certain way"^0.0058 "way anoth"^0.0058 "anoth possibl"^0.0058 "possibl that"^0.0058 "that ask"^0.0058 "ask help"^0.0058 "help write"^0.0058 "write essay"^0.0058 "essay report"^0.0058 "report want"^0.0058 "want final"^0.0058 "final output"^0.0058 "output structur"^0.0058 "structur properli"^0.0059 "properli sinc"^0.0059 "sinc there"^0.0058 "there no"^0.0058 "no context"^0.0058 "context probabl"^0.0058 "probabl ask"^0.0058 "ask them"^0.0058 "them clarifi"^0.0059 "clarifi their"^0.0059 "their request"^0.0058 "request but"^0.0058 "but sinc"^0.0058 "sinc can"^0.0058 "can that"^0.0057 "that right"^0.0058 "right now"^0.0058 "now mayb"^0.0058 "mayb ll"^0.0058 "ll consid"^0.0058 "consid common"^0.0058 "common task"^0.0058 "task peopl"^0.0058 "peopl might"^0.0058 "might when"^0.0058 "when mention"^0.0058 "mention output"^0.0058 "output exampl"^0.0058 "exampl program"^0.0058 "program user"^0.0058 "user might"^0.0058 "might need"^0.0058 "need help"^0.0058 "help write"^0.0058 "write code"^0.0058 "code that"^0.0058 "that produc"^0.0058 "produc specif"^0.0058 "specif output"^0.0058 "output could"^0.0058 "could deal"^0.0058 "deal data"^0.0058 "data analysi"^0.0058 "analysi requir"^0.0058 "requir assist"^0.0058 "assist format"^0.0058 "format result"^0.0058 "result let"^0.0058 "let think"^0.0058 "think about"^0.0058 "about gener"^0.0058 "gener approach"^0.0058 "approach program"^0.0058 "program relat"^0.0058 "relat outlin"^0.0058 "outlin step"^0.0058 "step creat"^0.0058 "creat program"^0.0058 "program that"^0.0058 "that gener"^0.0058 "gener desir"^0.0058 "desir output"^0.0058 "output mayb"^0.0058 "mayb provid"^0.0058 "provid exampl"^0.0058 "exampl python"^0.0059 "python anoth"^0.0059 "anoth languag"^0.0058 "languag about"^0.0058 "about data"^0.0058 "data process"^0.0058 "process perhap"^0.0058 "perhap discu"^0.0058 "discu structur"^0.0058 "structur output"^0.0058 "output clariti"^0.0061 "clariti readabl"^0.0061 "readabl altern"^0.0061 "altern work"^0.0058 "work report"^0.0058 "report document"^0.0058 "document could"^0.0058 "could offer"^0.0058 "offer tip"^0.0058 "tip organ"^0.0058 "organ content"^0.0058 "content effect"^0.0058 "effect but"^0.0058 "but without"^0.0058 "without more"^0.0058 "more detail"^0.0058 "detail hard"^0.0058 "hard specif"^0.0058 "specif mayb"^0.0058 "mayb prepar"^0.0058 "prepar respons"^0.0058 "respons that"^0.0058 "that acknowledg"^0.0058 "acknowledg lack"^0.0058 "lack inform"^0.0058 "inform ask"^0.0058 "ask clarif"^0.0061 "clarif that"^0.0061 "that way"^0.0058 "way can"^0.0058 "can provid"^0.0058 "provid more"^0.0058 "more accur"^0.0058 "accur assist"^0.0058 "assist onc"^0.0058 "onc necessari"^0.0058 "necessari context"^0.0058 "context wait"^0.0058 "wait but"^0.0058 "but sinc"^0.0058 "sinc thi"^0.0058 "thi exercis"^0.0058 "exercis think"^0.0058 "think through"^0.0058 "through problem"^0.0058 "problem perhap"^0.0058 "perhap simul"^0.0058 "simul someon"^0.0058 "someon might"^0.0058 "might process"^0.0058 "process thi"^0.0058 "thi situat"^0.0058 "situat they"^0.0058 "they realiz"^0.0058 "realiz ambigu"^0.0061 "ambigu consid"^0.0061 "consid possibl"^0.0058 "possibl angl"^0.0058 "angl decid"^0.0058 "decid best"^0.0058 "best cours"^0.0058 "cours action"^0.0058 "action base"^0.0058 "base avail"^0.0058 "avail inform"^0.0058 "inform thi"^0.0058 "thi case"^0.0058 "case best"^0.0058 "best move"^0.0058 "move prompt"^0.0059 "prompt more"^0.0059 "more detail"^0.0058 "detail make"^0.0058 "make assumpt"^0.0059 "assumpt necessari"^0.0059 "necessari had"^0.0058 "had proceed"^0.0058 "proceed without"^0.0058 "without addit"^0.0058 "addit info"^0.0058 "info could"^0.0058 "could offer"^0.0058 "offer gener"^0.0058 "gener exampl"^0.0058 "exampl let"^0.0058 "let say"^0.0058 "say need"^0.0058 "need help"^0.0058 "help program"^0.0058 "program output"^0.0058 "output can"^0.0058 "can provid"^0.0058 "provid simpl"^0.0058 "simpl python"^0.0059 "python script"^0.0059 "script that"^0.0058 "that print"^0.0058 "print hello"^0.0058 "hello world"^0.0058 "world exampl"^0.0058 "exampl gener"^0.0058 "gener output"^0.0058 "output that"^0.0058 "that way"^0.0058 "way it"^0.0058 "it demonstr"^0.0058 "demonstr process"^0.0058 "process even"^0.0058 "even without"^0.0058 "without specif"^0.0058 "specif requir"^0.0058 "requir altern"^0.0058 "altern about"^0.0058 "about data"^0.0058 "data format"^0.0058 "format might"^0.0058 "might explain"^0.0058 "explain structur"^0.0058 "structur json"^0.0067 "json csv"^0.0067 "csv output"^0.0062 "output properli"^0.0059 "properli but"^0.0059 "but again"^0.0058 "again without"^0.0058 "without know"^0.0058 "know specif"^0.0058 "specif thi"^0.0058 "thi specul"^0.0061 "specul conclus"^0.0061 "conclus while"^0.0058 "while can"^0.0058 "can provid"^0.0058 "provid precis"^0.0058 "precis solut"^0.0058 "solut without"^0.0058 "without more"^0.0058 "more inform"^0.0058 "inform offer"^0.0058 "offer exampl"^0.0058 "exampl ask"^0.0058 "ask clarif"^0.0061 "clarif most"^0.0061 "most effect"^0.0058 "effect approach"^0.0058 "approach thi"^0.0058 "thi ensur"^0.0058 "ensur that"^0.0058 "that ani"^0.0058 "ani assist"^0.0058 "assist given"^0.0058 "given tailor"^0.0059 "tailor their"^0.0059 "their actual"^0.0058 "actual need"^0.0058 "need think"^0.0058 "think address"^0.0058 "address request"^0.0058 "request effect"^0.0058 "effect import"^0.0058 "import clear"^0.0058 "clear detail"^0.0058 "detail about"^0.0058 "about need"^0.0058 "need help"^0.0058 "help with"^0.0058 "with howev"^0.0058 "howev sinc"^0.0058 "sinc no"^0.0058 "no specif"^0.0058 "specif task"^0.0058 "task provid"^0.0058 "provid can"^0.0058 "can offer"^0.0058 "offer gener"^0.0058 "gener exampl"^0.0058 "exampl relat"^0.0058 "relat gener"^0.0058 "gener output"^0.0058 "output program"^0.0058 "program here"^0.0058 "here simpl"^0.0058 "simpl python"^0.0059 "python script"^0.0059 "script that"^0.0058 "that print"^0.0058 "print hello"^0.0058 "hello world"^0.0058 "world python"^0.0059 "python print"^0.0059 "print hello"^0.0058 "hello world"^0.0058 "world differ"^0.0058 "differ task"^0.0058 "task need"^0.0058 "need further"^0.0058 "further assist"^0.0058 "assist provid"^0.0058 "provid more"^0.0058 "more detail"^0.0058 "detail can"^0.0058 "can help"^0.0058 "help better"^0.0058', 'minimum_should_match': '0%', 'boost': 1}}], 'filter': [{'terms': {'kb_id': ['2eada176ed9b11ef99a90242ac120006']}}, {'bool': {'must_not': [{'range': {'available_int': {'lt': 1}}}]}}], 'boost': 0.050000000000000044}}, 'similarity': 0.2}, 'from': 0, 'size': 128, 'timeout': '600s', 'track_total_hits': True} Traceback (most recent call last): File "/ragflow/rag/utils/es_conn.py", line 242, in search res = self.es.search(index=indexNames, File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/utils.py", line 446, in wrapped return api(*args, **kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/init.py", line 3836, in search return self.perform_request( # type: ignore[return-value] File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/_base.py", line 320, in perform_request raise HTTP_EXCEPTIONS.get(meta.status, ApiError)( elasticsearch.ApiError: ApiError(500, 'search_phase_execution_exception', 'Query contains too many nested clauses; maxClauseCount is set to 1277') 2025-02-18 17:26:45,378 ERROR 14 ApiError(500, 'search_phase_execution_exception', 'Query contains too many nested clauses; maxClauseCount is set to 1277') Traceback (most recent call last): File "/ragflow/.venv/lib/python3.10/site-packages/flask/app.py", line 880, in full_dispatch_request rv = self.dispatch_request() File "/ragflow/.venv/lib/python3.10/site-packages/flask/app.py", line 865, in dispatch_request return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return] File "/ragflow/api/utils/api_utils.py", line 303, in decorated_function return func(*args, **kwargs) File "/ragflow/api/apps/sdk/session.py", line 156, in chat_completion for ans in rag_completion(tenant_id, chat_id, **req): File "/ragflow/api/db/services/conversation_service.py", line 154, in completion for ans in chat(dia, msg, False, **kwargs): File "/ragflow/api/db/services/dialog_service.py", line 271, in chat kbinfos = retriever.retrieval(" ".join(questions), embd_mdl, tenant_ids, dialog.kb_ids, 1, dialog.top_n, File "<@beartype(rag.nlp.search.Dealer.retrieval) at 0x7fd38970d6c0>", line 35, in retrieval File "/ragflow/rag/nlp/search.py", line 360, in retrieval sres = self.search(req, [index_name(tid) for tid in tenant_ids], File "<@beartype(rag.nlp.search.Dealer.search) at 0x7fd38970d2d0>", line 95, in search File "/ragflow/rag/nlp/search.py", line 115, in search res = self.dataStore.search(src, highlightFields, filters, matchExprs, orderBy, offset, limit, File "/ragflow/rag/utils/es_conn.py", line 256, in search raise e File "/ragflow/rag/utils/es_conn.py", line 242, in search res = self.es.search(index=indexNames, File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/utils.py", line 446, in wrapped return api(*args, **kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/init.py", line 3836, in search return self.perform_request( # type: ignore[return-value] File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/_base.py", line 320, in perform_request raise HTTP_EXCEPTIONS.get(meta.status, ApiError)( elasticsearch.ApiError: ApiError(500, 'search_phase_execution_exception', 'Query contains too many nested clauses; maxClauseCount is set to 1277')
Could you paste the error log of backend server here?
Traceback (most recent call last): File "/ragflow/rag/utils/es_conn.py", line 242, in search res = self.es.search(index=indexNames, File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/utils.py", line 446, in wrapped return api(*args, **kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/init.py", line 3836, in search return self.perform_request( # type: ignore[return-value] File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/_base.py", line 320, in perform_request raise HTTP_EXCEPTIONS.get(meta.status, ApiError)( elasticsearch.ApiError: ApiError(500, 'search_phase_execution_exception', 'Query contains too many nested clauses; maxClauseCount is set to 1277') 2025-02-18 17:26:45,378 ERROR 14 ApiError(500, 'search_phase_execution_exception', 'Query contains too many nested clauses; maxClauseCount is set to 1277') Traceback (most recent call last): File "/ragflow/.venv/lib/python3.10/site-packages/flask/app.py", line 880, in full_dispatch_request rv = self.dispatch_request() File "/ragflow/.venv/lib/python3.10/site-packages/flask/app.py", line 865, in dispatch_request return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return] File "/ragflow/api/utils/api_utils.py", line 303, in decorated_function return func(*args, **kwargs) File "/ragflow/api/apps/sdk/session.py", line 156, in chat_completion for ans in rag_completion(tenant_id, chat_id, **req): File "/ragflow/api/db/services/conversation_service.py", line 154, in completion for ans in chat(dia, msg, False, **kwargs): File "/ragflow/api/db/services/dialog_service.py", line 271, in chat kbinfos = retriever.retrieval(" ".join(questions), embd_mdl, tenant_ids, dialog.kb_ids, 1, dialog.top_n, File "<@beartype(rag.nlp.search.Dealer.retrieval) at 0x7fd38970d6c0>", line 35, in retrieval File "/ragflow/rag/nlp/search.py", line 360, in retrieval sres = self.search(req, [index_name(tid) for tid in tenant_ids], File "<@beartype(rag.nlp.search.Dealer.search) at 0x7fd38970d2d0>", line 95, in search File "/ragflow/rag/nlp/search.py", line 115, in search res = self.dataStore.search(src, highlightFields, filters, matchExprs, orderBy, offset, limit, File "/ragflow/rag/utils/es_conn.py", line 256, in search raise e File "/ragflow/rag/utils/es_conn.py", line 242, in search res = self.es.search(index=indexNames, File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/utils.py", line 446, in wrapped return api(*args, **kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/init.py", line 3836, in search return self.perform_request( # type: ignore[return-value] File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/_base.py", line 320, in perform_request raise HTTP_EXCEPTIONS.get(meta.status, ApiError)( elasticsearch.ApiError: ApiError(500, 'search_phase_execution_exception', 'Query contains too many nested clauses; maxClauseCount is set to 1277')
遇到了同样的问题，但是我的报错中提示上限为5031。
- 尝试了在docker container中找到\usr\share\elasticsearch\config\elasticsearch.yml并且添加一行“indices.query.bool.max_clause_count=10240”，未能解决问题。
- 尝试了在ragflow\docker\docker-compose-base.yml中es01:environment中添加一行如上的描述，依旧未能解决问题。两次获得的报错是一样的。
我也是尝试添加一行“indices.query.bool.max_clause_count=” 没有作用
2025-03-05 13:58:41,075 ERROR 20 ESConnection.search ['ragflow_5381da18ed1311efbf7f0242ac120006'] query: {'query': {'bool': {'must': [{'query_string': {'fields': ['title_tks^10', 'title_sm_tks^5', 'important_kwd^30', 'important_tks^20', 'question_tks^20', 'content_ltks^2', 'content_sm_ltks'], 'type': 'best_fields', 'query': '(refer^0.0121 "mention"^0.0030 "consult"^0.0030 "denot"^0.0030) (attach^0.0122 "impound"^0.0031 "bind"^0.0031) (our^0.0120 ) (product^0.0120 "merchandis"^0.0030 "intersect"^0.0030) (catalogu^0.0122 ) (here^0.0120 "hera"^0.0030) (thi^0.0120 ) (mail^0.0121 "chain"^0.0030 "mail"^0.0030) (kindli^0.0127 ) (take^0.0121 "choos"^0.0030 "learn"^0.0030 "necessit"^0.0030 "carri"^0.0030 "claim"^0.0030 "accept"^0.0030 "assum"^0.0030 "bring"^0.0030 "drive"^0.0030 "subscrib"^0.0030 "consum"^0.0030 "fill"^0.0030 "contract"^0.0030 "remov"^0.0030 "leas"^0.0030 "aim"^0.0030 "lead"^0.0030 "return"^0.0030 "contain"^0.0030 "consid"^0.0030 "film"^0.0030) (view^0.0120 "see"^0.0030 "watch"^0.0030 "opinion"^0.0030 "posit"^0.0030 "horizon"^0.0030 "scene"^0.0030) (itin^0.0139 ) (case^0.0121 "charact"^0.0030 "case"^0.0030 "sheath"^0.0030 "lawsuit"^0.0030 "encas"^0.0030 "subject"^0.0030 "event"^0.0030 "font"^0.0030 "shell"^0.0030) (ani^0.0120 ) (interest^0.0121 "sake"^0.0030 "concern"^0.0030 "pastim"^0.0030 "matter"^0.0030 "to"^0.0030) (inquiri^0.0122 ) (feel^0.0122 "tactil"^0.0031 "properti"^0.0031 "spirit"^0.0031 "palpat"^0.0031 "find"^0.0031) (free^0.0120 "absolv"^0.0030 "barren"^0.0030 "dislodg"^0.0030 "complimentari"^0.0030 "unblock"^0.0030 "loos"^0.0030 "exempt"^0.0030 "rid"^0.0030 "detach"^0.0030 "releas"^0.0030 "spare"^0.0030) (let^0.0121 "leas"^0.0030 "permit"^0.0030 "lashkar"^0.0030 "e"^0.0030 "taiba"^0.0030 "get"^0.0030) (know^0.0121 "sleep"^0.0030 "togeth"^0.0030 "acknowledg"^0.0030) (sincer^0.0127 ) (第五^0.0173 ) (封^0.0166 ) (dear^0.0124 "costli"^0.0031 "belov"^0.0031 "lamb"^0.0031 "dearli"^0.0031) (xxx^0.0122 "thirti"^0.0031) (hope^0.0122 "promis"^0.0031) (thi^0.0120 ) (email^0.0120 "e"^0.0030 "mail"^0.0030 "electron"^0.0030 "mail"^0.0030) (find^0.0120 "recov"^0.0030 "discov"^0.0030 "find"^0.0030 "oneself"^0.0030 "wit"^0.0030 "determin"^0.0030 "detect"^0.0030 "discoveri"^0.0030 "line"^0.0030 "up"^0.0030 "receiv"^0.0030 "rule"^0.0030) (well^0.0121 "good"^0.0030) (thi^0.0120 ) (xxx^0.0122 "thirti"^0.0031) (from^0.0120 ) (xxx^0.0122 "thirti"^0.0031) (we^0.0001 ) (xxx^0.0122 "thirti"^0.0031) (special^0.0121 "especi"^0.0030 "particular"^0.0030 "extra"^0.0030 "limit"^0.0030) (xxx^0.0122 "thirti"^0.0031) (industri^0.0121 ) (morethan^0.0143 ) (10^0.0381 ) (year^0.0120 "class"^0.0030) (cover^0.0121 "screen"^0.0030 "report"^0.0030 "cover"^0.0030 "charg"^0.0030 "breed"^0.0030 "embrac"^0.0030 "cover"^0.0030 "shroud"^0.0030 "travers"^0.0030 "top"^0.0030 "overlay"^0.0030 "brood"^0.0030 "blanket"^0.0030 "bind"^0.0030) (xxx^0.0122 "thirti"^0.0031) (product^0.0120 "merchandis"^0.0030 "intersect"^0.0030) (our^0.0120 ) (compani^0.0121 ) (establish^0.0122 "lay"^0.0031 "down"^0.0031 "instal"^0.0031 "prove"^0.0031 "build"^0.0031) (xxx^0.0122 "thirti"^0.0031) (develop^0.0120 "train"^0.0030 "grow"^0.0030 "modern"^0.0030 "origin"^0.0030 "evolv"^0.0030 "break"^0.0030 "build"^0.0030 "up"^0.0030 "explic"^0.0030) (veri^0.0121 ) (fast^0.0122 "debauch"^0.0031 "firm"^0.0031 "fli"^0.0031) (today^0.0121 "nowaday"^0.0030) (we^0.0001 ) (enjoy^0.0122 "love"^0.0031 "delight"^0.0031) (posit^0.0121 "submit"^0.0030 "situat"^0.0030 "postul"^0.0030) (credibl^0.0127 ) (andsuccess^0.0146 ) (supplier^0.0122 ) (busi^0.0120 ) (partner^0.0122 "collabor"^0.0031 "spous"^0.0031) (we^0.0001 ) (seek^0.0122 "tri"^0.0031 "search"^0.0031) (potenti^0.0122 ) (possibl^0.0121 ) (cooper^0.0122 ) (you^0.0120 ) (interest^0.0121 "sake"^0.0030 "concern"^0.0030 "pastim"^0.0030 "matter"^0.0030 "to"^0.0030) (xxx^0.0122 "thirti"^0.0031) (产品^0.0358 ) (wed^0.0122 "marri"^0.0031 "wednesday"^0.0031) (like^0.0120 "alik"^0.0030 "compar"^0.0030 "wish"^0.0030) (provid^0.0120 ) (more^0.0120 ) 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{'must_not': [{'range': {'available_int': {'lt': 1}}}]}}], 'boost': 0.050000000000000044}}, 'similarity': 0.2}, 'from': 0, 'size': 128, 'timeout': '600s', 'track_total_hits': True} Traceback (most recent call last): File "/ragflow/rag/utils/es_conn.py", line 242, in search res = self.es.search(index=indexNames, File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/utils.py", line 446, in wrapped return api(*args, **kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/init.py", line 3836, in search return self.perform_request( # type: ignore[return-value] File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/_base.py", line 320, in perform_request raise HTTP_EXCEPTIONS.get(meta.status, ApiError)( elasticsearch.ApiError: ApiError(500, 'search_phase_execution_exception', 'Query contains too many nested clauses; maxClauseCount is set to 1277') 2025-03-05 13:58:41,076 ERROR 20 Canvas.run got exception: ApiError(500, 'search_phase_execution_exception', 'Query contains too many nested clauses; maxClauseCount is set to 1277') Traceback (most recent call last): File "/ragflow/agent/canvas.py", line 222, in prepare2run ans = cpn.run(self.history, **kwargs) File "/ragflow/agent/component/base.py", line 420, in run raise e File "/ragflow/agent/component/base.py", line 416, in run res = self._run(history, **kwargs) File "/ragflow/agent/component/retrieval.py", line 71, in _run kbinfos = settings.retrievaler.retrieval(query, embd_mdl, kbs[0].tenant_id, self._param.kb_ids, File "<@beartype(rag.nlp.search.Dealer.retrieval) at 0x7feebd0e17e0>", line 35, in retrieval File "/ragflow/rag/nlp/search.py", line 360, in retrieval sres = self.search(req, [index_name(tid) for tid in tenant_ids], File "<@beartype(rag.nlp.search.Dealer.search) at 0x7feebd0e13f0>", line 95, in search File "/ragflow/rag/nlp/search.py", line 115, in search res = self.dataStore.search(src, highlightFields, filters, matchExprs, orderBy, offset, limit, File "/ragflow/rag/utils/es_conn.py", line 256, in search raise e File "/ragflow/rag/utils/es_conn.py", line 242, in search res = self.es.search(index=indexNames, File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/utils.py", line 446, in wrapped return api(*args, **kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/init.py", line 3836, in search return self.perform_request( # type: ignore[return-value] File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/_base.py", line 320, in perform_request raise HTTP_EXCEPTIONS.get(meta.status, ApiError)( elasticsearch.ApiError: ApiError(500, 'search_phase_execution_exception', 'Query contains too many nested clauses; maxClauseCount is set to 1277')
我也遇到类似的问题，我是做了容器数据迁移之后遇到的。原来的服务没问题，迁移之后出问题了。镜像是相同的。是由于什么地方没同步导致的吗？
现在报错消息是：
ApiError(500, 'search_phase_execution_exception', 'Query contains too many nested clauses; maxClauseCount is set to 1700')
same problem。"ERROR: ApiError(500, 'search_phase execution exception, 'Query contains too many nested clauses; maxClauseCountis set to 1277')”
参照ES文档修改分配给es的内存大小，默认是7.5个G，docker镜像使用的es是8.11.3，根据文档，长度是根据内存动态计算的，所以7.5个G可能就是1277，需增大内存，修改.env中的men_limit大小
same logs i think maybe we do too many retrievals in an agent flow(mine is 4) which leads to a large number of bool sub-sentence Traceback (most recent call last): File "/ragflow/agent/tools/base.py", line 130, in invoke res = self._invoke(**kwargs) File "/ragflow/api/utils/api_utils.py", line 758, in wrapper raise result File "/ragflow/api/utils/api_utils.py", line 742, in target result = func(*args, **kwargs) File "/ragflow/agent/tools/retrieval.py", line 125, in _invoke kbinfos = settings.retriever.retrieval( File "<@beartype(rag.nlp.search.Dealer.retrieval) at 0x7f92d49a6050>", line 35, in retrieval File "/ragflow/rag/nlp/search.py", line 370, in retrieval sres = self.search(req, [index_name(tid) for tid in tenant_ids], File "<@beartype(rag.nlp.search.Dealer.search) at 0x7f92d49a5c60>", line 95, in search File "/ragflow/rag/nlp/search.py", line 119, in search res = self.dataStore.search(src, highlightFields, filters, matchExprs, orderBy, offset, limit, File "/ragflow/rag/utils/es_conn.py", line 268, in search raise e File "/ragflow/rag/utils/es_conn.py", line 252, in search res = self.es.search(index=indexNames, File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/utils.py", line 446, in wrapped return api(*args, **kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/init.py", line 3836, in search return self.perform_request( # type: ignore[return-value] File "/ragflow/.venv/lib/python3.10/site-packages/elasticsearch/_sync/client/_base.py", line 320, in perform_request raise HTTP_EXCEPTIONS.get(meta.status, ApiError)( elasticsearch.ApiError: ApiError(500, 'search_phase_execution_exception', 'Query contains too many nested clauses; maxClauseCount is set to 2553')
