Removing DocumentLanguage, as both System Context and User Context are to be defined on DocumentVersion level.
Finetuning of embedding workers.
This commit is contained in:
50
common/langchain/EveAIRetriever.py
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50
common/langchain/EveAIRetriever.py
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@@ -0,0 +1,50 @@
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from langchain_core.retrievers import BaseRetriever
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from sqlalchemy.exc import SQLAlchemyError
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from pydantic import BaseModel, Field
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from typing import Any, Dict
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from common.extensions import db
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from flask import current_app
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from config.logging_config import LOGGING
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class EveAIRetriever(BaseRetriever):
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model_variables: Dict[str, Any] = Field(...)
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def __init__(self, model_variables: Dict[str, Any]):
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super().__init__()
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current_app.logger.debug('Initializing EveAIRetriever')
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self.model_variables = model_variables
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current_app.logger.debug('EveAIRetriever initialized')
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def _get_relevant_documents(self, query: str):
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current_app.logger.debug(f'Retrieving relevant documents for query: {query}')
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query_embedding = self._get_query_embedding(query)
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db_class = self.model_variables['embedding_db_model']
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similarity_threshold = self.model_variables['similarity_threshold']
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k = self.model_variables['k']
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try:
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res = (
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db.session.query(db_class,
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db_class.embedding.cosine_distance(query_embedding)
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.label('distance'))
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.filter(db_class.embedding.cosine_distance(query_embedding) < similarity_threshold)
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.order_by('distance')
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.limit(k)
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.all()
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)
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current_app.rag_tuning_logger.debug(f'Retrieved {len(res)} relevant documents')
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current_app.rag_tuning_logger.debug(f'---------------------------------------')
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for doc in res:
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current_app.rag_tuning_logger.debug(f'Document ID: {doc[0].id} - Distance: {doc[1]}\n')
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current_app.rag_tuning_logger.debug(f'Chunk: \n {doc[0].chunk}\n\n')
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except SQLAlchemyError as e:
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current_app.logger.error(f'Error retrieving relevant documents: {e}')
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return []
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return res
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def _get_query_embedding(self, query: str):
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embedding_model = self.model_variables['embedding_model']
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query_embedding = embedding_model.embed_query(query)
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return query_embedding
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@@ -17,50 +17,22 @@ class Document(db.Model):
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updated_by = db.Column(db.Integer, db.ForeignKey(User.id))
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# Relations
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languages = db.relationship('DocumentLanguage', backref='document', lazy=True)
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versions = db.relationship('DocumentVersion', backref='document', lazy=True)
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def __repr__(self):
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return f"<Document {self.id}: {self.name}>"
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class DocumentLanguage(db.Model):
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id = db.Column(db.Integer, primary_key=True)
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document_id = db.Column(db.Integer, db.ForeignKey(Document.id), nullable=False)
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language = db.Column(db.String(2), nullable=False)
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user_context = db.Column(db.Text, nullable=True)
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system_context = db.Column(db.Text, nullable=True)
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latest_version_id = db.Column(db.Integer, db.ForeignKey('document_version.id'), nullable=True)
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# Versioning Information
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created_at = db.Column(db.DateTime, nullable=False, server_default=db.func.now())
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created_by = db.Column(db.Integer, db.ForeignKey(User.id), nullable=False)
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updated_at = db.Column(db.DateTime, nullable=False, server_default=db.func.now(), onupdate=db.func.now())
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updated_by = db.Column(db.Integer, db.ForeignKey(User.id))
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# Relations
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versions = db.relationship(
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'DocumentVersion',
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backref='document_language',
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lazy='joined',
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foreign_keys='DocumentVersion.doc_lang_id'
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)
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latest_version = db.relationship(
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'DocumentVersion',
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uselist=False,
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foreign_keys=[latest_version_id]
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)
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def __repr__(self):
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return f"<DocumentLanguage {self.document_id}.{self.language}>"
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class DocumentVersion(db.Model):
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id = db.Column(db.Integer, primary_key=True)
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doc_lang_id = db.Column(db.Integer, db.ForeignKey(DocumentLanguage.id), nullable=False)
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doc_id = db.Column(db.Integer, db.ForeignKey(Document.id), nullable=False)
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url = db.Column(db.String(200), nullable=True)
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file_location = db.Column(db.String(255), nullable=True)
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file_name = db.Column(db.String(200), nullable=True)
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file_type = db.Column(db.String(20), nullable=True)
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language = db.Column(db.String(2), nullable=False)
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user_context = db.Column(db.Text, nullable=True)
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system_context = db.Column(db.Text, nullable=True)
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# Versioning Information
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created_at = db.Column(db.DateTime, nullable=False, server_default=db.func.now())
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@@ -81,7 +53,7 @@ class DocumentVersion(db.Model):
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return f"<DocumentVersion {self.document_language.document_id}.{self.document_language.language}>.{self.id}>"
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def calc_file_location(self):
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return f"{self.document_language.document.tenant_id}/{self.document_language.document.id}/{self.document_language.language}"
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return f"{self.document.tenant_id}/{self.document.id}/{self.language}"
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def calc_file_name(self):
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return f"{self.id}.{self.file_type}"
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@@ -48,6 +48,10 @@ class Tenant(db.Model):
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allowed_monthly_interactions = db.Column(db.Integer, nullable=True)
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encrypted_chat_api_key = db.Column(db.String(500), nullable=True)
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# Tuning enablers
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embed_tuning = db.Column(db.Boolean, nullable=True, default=False)
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rag_tuning = db.Column(db.Boolean, nullable=True, default=False)
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# Relations
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users = db.relationship('User', backref='tenant')
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domains = db.relationship('TenantDomain', backref='tenant')
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@@ -133,7 +137,10 @@ class TenantDomain(db.Model):
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id = db.Column(db.Integer, primary_key=True)
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tenant_id = db.Column(db.Integer, db.ForeignKey('public.tenant.id'), nullable=False)
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domain = db.Column(db.String(255), unique=True, nullable=False)
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# Originally, domain was required to be unique.
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# However, several tenants can run from the same domain (e.g. for demo purposes,
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# but also internal and external chat clients.
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domain = db.Column(db.String(255), nullable=False)
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valid_to = db.Column(db.Date, nullable=True)
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# Versioning Information
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@@ -2,6 +2,7 @@ from flask import current_app
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from langchain.embeddings import OpenAIEmbeddings
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from langchain.chat_models import ChatOpenAI
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from langchain.prompts import ChatPromptTemplate
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import ast
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from common.models.document import EmbeddingSmallOpenAI
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@@ -35,6 +36,23 @@ def select_model_variables(tenant):
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else:
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model_variables['no_RAG_temperature'] = 0.5
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# Set Tuning variables
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if tenant.embed_tuning:
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model_variables['embed_tuning'] = tenant.embed_tuning
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else:
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model_variables['embed_tuning'] = False
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if tenant.rag_tuning:
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model_variables['rag_tuning'] = tenant.rag_tuning
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else:
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model_variables['rag_tuning'] = False
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# Set HTML Chunking Variables
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model_variables['html_tags'] = tenant.html_tags
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model_variables['html_end_tags'] = tenant.html_end_tags
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model_variables['html_included_elements'] = tenant.html_included_elements
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model_variables['html_excluded_elements'] = tenant.html_excluded_elements
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# Set Embedding variables
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match embedding_provider:
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case 'openai':
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