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https://github.com/infiniflow/ragflow.git
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Feat: add meta data filter. (#9405)
### What problem does this PR solve? #8531 #7417 #6761 #6573 #6477 ### Type of change - [x] New Feature (non-breaking change which adds functionality)
This commit is contained in:
@ -51,6 +51,7 @@ def set_dialog():
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similarity_threshold = req.get("similarity_threshold", 0.1)
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vector_similarity_weight = req.get("vector_similarity_weight", 0.3)
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llm_setting = req.get("llm_setting", {})
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meta_data_filter = req.get("meta_data_filter", {})
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prompt_config = req["prompt_config"]
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if not is_create:
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@ -85,6 +86,7 @@ def set_dialog():
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"llm_id": llm_id,
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"llm_setting": llm_setting,
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"prompt_config": prompt_config,
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"meta_data_filter": meta_data_filter,
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"top_n": top_n,
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"top_k": top_k,
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"rerank_id": rerank_id,
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@ -681,6 +681,11 @@ def set_meta():
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return get_json_result(data=False, message="No authorization.", code=settings.RetCode.AUTHENTICATION_ERROR)
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try:
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meta = json.loads(req["meta"])
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if not isinstance(meta, dict):
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return get_json_result(data=False, message="Only dictionary type supported.", code=settings.RetCode.ARGUMENT_ERROR)
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for k,v in meta.items():
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if not isinstance(v, str) and not isinstance(v, int) and not isinstance(v, float):
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return get_json_result(data=False, message=f"The type is not supported: {v}", code=settings.RetCode.ARGUMENT_ERROR)
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except Exception as e:
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return get_json_result(data=False, message=f"Json syntax error: {e}", code=settings.RetCode.ARGUMENT_ERROR)
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if not isinstance(meta, dict):
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@ -351,6 +351,7 @@ def knowledge_graph(kb_id):
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obj["graph"]["edges"] = sorted(filtered_edges, key=lambda x: x.get("weight", 0), reverse=True)[:128]
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return get_json_result(data=obj)
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@manager.route('/<kb_id>/knowledge_graph', methods=['DELETE']) # noqa: F821
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@login_required
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def delete_knowledge_graph(kb_id):
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@ -364,3 +365,17 @@ def delete_knowledge_graph(kb_id):
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settings.docStoreConn.delete({"knowledge_graph_kwd": ["graph", "subgraph", "entity", "relation"]}, search.index_name(kb.tenant_id), kb_id)
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return get_json_result(data=True)
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@manager.route("/get_meta", methods=["GET"]) # noqa: F821
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@login_required
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def get_meta():
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kb_ids = request.args.get("kb_ids", "").split(",")
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for kb_id in kb_ids:
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if not KnowledgebaseService.accessible(kb_id, current_user.id):
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return get_json_result(
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data=False,
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message='No authorization.',
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code=settings.RetCode.AUTHENTICATION_ERROR
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)
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return get_json_result(data=DocumentService.get_meta_by_kbs(kb_ids))
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@ -744,6 +744,7 @@ class Dialog(DataBaseModel):
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null=False,
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default={"system": "", "prologue": "Hi! I'm your assistant, what can I do for you?", "parameters": [], "empty_response": "Sorry! No relevant content was found in the knowledge base!"},
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)
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meta_data_filter = JSONField(null=True, default={})
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similarity_threshold = FloatField(default=0.2)
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vector_similarity_weight = FloatField(default=0.3)
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@ -1015,4 +1016,8 @@ def migrate_db():
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migrate(migrator.add_column("api_4_conversation", "errors", TextField(null=True, help_text="errors")))
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except Exception:
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pass
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try:
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migrate(migrator.add_column("dialog", "meta_data_filter", JSONField(null=True, default={})))
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except Exception:
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pass
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logging.disable(logging.NOTSET)
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@ -30,6 +30,7 @@ from api import settings
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from api.db import LLMType, ParserType, StatusEnum
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from api.db.db_models import DB, Dialog
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from api.db.services.common_service import CommonService
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from api.db.services.document_service import DocumentService
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from api.db.services.knowledgebase_service import KnowledgebaseService
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from api.db.services.langfuse_service import TenantLangfuseService
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from api.db.services.llm_service import LLMBundle, TenantLLMService
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@ -38,6 +39,7 @@ from rag.app.resume import forbidden_select_fields4resume
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from rag.app.tag import label_question
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from rag.nlp.search import index_name
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from rag.prompts import chunks_format, citation_prompt, cross_languages, full_question, kb_prompt, keyword_extraction, message_fit_in
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from rag.prompts.prompts import gen_meta_filter
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from rag.utils import num_tokens_from_string, rmSpace
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from rag.utils.tavily_conn import Tavily
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@ -250,6 +252,46 @@ def repair_bad_citation_formats(answer: str, kbinfos: dict, idx: set):
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return answer, idx
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def meta_filter(metas: dict, filters: list[dict]):
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doc_ids = []
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def filter_out(v2docs, operator, value):
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nonlocal doc_ids
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for input,docids in v2docs.items():
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try:
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input = float(input)
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value = float(value)
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except Exception:
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input = str(input)
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value = str(value)
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for conds in [
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(operator == "contains", str(value).lower() in str(input).lower()),
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(operator == "not contains", str(value).lower() not in str(input).lower()),
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(operator == "start with", str(input).lower().startswith(str(value).lower())),
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(operator == "end with", str(input).lower().endswith(str(value).lower())),
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(operator == "empty", not input),
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(operator == "not empty", input),
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(operator == "=", input == value),
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(operator == "≠", input != value),
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(operator == ">", input > value),
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(operator == "<", input < value),
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(operator == "≥", input >= value),
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(operator == "≤", input <= value),
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]:
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try:
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if all(conds):
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doc_ids.extend(docids)
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except Exception:
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pass
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for k, v2docs in metas.items():
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for f in filters:
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if k != f["key"]:
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continue
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filter_out(v2docs, f["op"], f["value"])
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return doc_ids
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def chat(dialog, messages, stream=True, **kwargs):
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assert messages[-1]["role"] == "user", "The last content of this conversation is not from user."
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if not dialog.kb_ids and not dialog.prompt_config.get("tavily_api_key"):
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@ -287,9 +329,10 @@ def chat(dialog, messages, stream=True, **kwargs):
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retriever = settings.retrievaler
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questions = [m["content"] for m in messages if m["role"] == "user"][-3:]
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attachments = kwargs["doc_ids"].split(",") if "doc_ids" in kwargs else None
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attachments = kwargs["doc_ids"].split(",") if "doc_ids" in kwargs else []
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if "doc_ids" in messages[-1]:
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attachments = messages[-1]["doc_ids"]
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prompt_config = dialog.prompt_config
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field_map = KnowledgebaseService.get_field_map(dialog.kb_ids)
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# try to use sql if field mapping is good to go
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@ -316,6 +359,14 @@ def chat(dialog, messages, stream=True, **kwargs):
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if prompt_config.get("cross_languages"):
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questions = [cross_languages(dialog.tenant_id, dialog.llm_id, questions[0], prompt_config["cross_languages"])]
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if dialog.meta_data_filter:
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metas = DocumentService.get_meta_by_kbs(dialog.kb_ids)
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if dialog.meta_data_filter.get("method") == "auto":
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filters = gen_meta_filter(chat_mdl, metas, questions[-1])
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attachments.extend(meta_filter(metas, filters))
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elif dialog.meta_data_filter.get("method") == "manual":
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attachments.extend(meta_filter(metas, dialog.meta_data_filter["manual"]))
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if prompt_config.get("keyword", False):
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questions[-1] += keyword_extraction(chat_mdl, questions[-1])
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@ -574,6 +574,25 @@ class DocumentService(CommonService):
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def update_meta_fields(cls, doc_id, meta_fields):
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return cls.update_by_id(doc_id, {"meta_fields": meta_fields})
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@classmethod
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@DB.connection_context()
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def get_meta_by_kbs(cls, kb_ids):
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fields = [
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cls.model.id,
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cls.model.meta_fields,
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]
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meta = {}
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for r in cls.model.select(*fields).where(cls.model.kb_id.in_(kb_ids)):
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doc_id = r.id
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for k,v in r.meta_fields.items():
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if k not in meta:
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meta[k] = {}
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v = str(v)
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if v not in meta[k]:
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meta[k][v] = []
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meta[k][v].append(doc_id)
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return meta
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@classmethod
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@DB.connection_context()
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def update_progress(cls):
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