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[[package]] name = "typer" version = "0.9.0" @@ -4441,4 +3597,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = "^3.11" -content-hash = "76237f0e04218f9ca9a2593ccf952452bd6d45657066feec87373279fb7fe6a2" +content-hash = "f1dfc749e30bbf23ec06ac8b236ef6c2072591fe9a8a56f26e05416151ca97bb" diff --git a/apps/api/pyproject.toml b/apps/api/pyproject.toml index ba16002d..58020de8 100644 --- a/apps/api/pyproject.toml +++ b/apps/api/pyproject.toml @@ -34,7 +34,6 @@ langchain = "0.1.0" tiktoken = "^0.5.2" openai = "^1.7.1" chromadb = "^0.4.22" -sentence-transformers = "^2.2.2" python-dotenv = "^1.0.0" redis = "^5.0.1" langchain-community = "^0.0.11" diff --git a/apps/api/requirements.txt b/apps/api/requirements.txt index e3c28897..9f7e1c7f 100644 --- a/apps/api/requirements.txt +++ b/apps/api/requirements.txt @@ -24,6 +24,5 @@ langchain-openai tiktoken openai chromadb -sentence-transformers python-dotenv redis diff --git a/apps/api/src/db/organization_config.py b/apps/api/src/db/organization_config.py index 214a5d0d..53d4fa1d 100644 --- a/apps/api/src/db/organization_config.py +++ b/apps/api/src/db/organization_config.py @@ -21,8 +21,8 @@ class AIConfig(BaseModel): enabled : bool = True limits: AILimitsSettings = AILimitsSettings() embeddings: Literal[ - "text-embedding-ada-002", "all-MiniLM-L6-v2" - ] = "all-MiniLM-L6-v2" + "text-embedding-ada-002", + ] = "text-embedding-ada-002" ai_model: Literal["gpt-3.5-turbo", "gpt-4-1106-preview"] = "gpt-3.5-turbo" features: AIEnabledFeatures = AIEnabledFeatures() diff --git a/apps/api/src/services/ai/base.py b/apps/api/src/services/ai/base.py index 49929b8c..4bffa1f0 100644 --- a/apps/api/src/services/ai/base.py +++ b/apps/api/src/services/ai/base.py @@ -2,7 +2,6 @@ from typing import Optional from uuid import uuid4 from langchain.agents import AgentExecutor from langchain.text_splitter import CharacterTextSplitter -from langchain.embeddings.sentence_transformer import SentenceTransformerEmbeddings from langchain_community.vectorstores import Chroma from langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent from langchain.prompts import MessagesPlaceholder @@ -45,7 +44,6 @@ def ask_ai( texts = text_splitter.split_documents(documents) embedding_models = { - "all-MiniLM-L6-v2": SentenceTransformerEmbeddings, "text-embedding-ada-002": OpenAIEmbeddings, } @@ -53,11 +51,11 @@ def ask_ai( if embedding_model_name in embedding_models: if embedding_model_name == "text-embedding-ada-002": - embedding_function = embedding_models[embedding_model_name](model=embedding_model_name, api_key=openai_api_key) - if embedding_model_name == "all-MiniLM-L6-v2": - embedding_function = embedding_models[embedding_model_name](model_name=embedding_model_name) + embedding_function = embedding_models[embedding_model_name]( + model=embedding_model_name, api_key=openai_api_key + ) else: - embedding_function = embedding_models[embedding_model_name](model_name=embedding_model_name) + raise Exception("Embedding model not found") # load it into Chroma and use it as a retriever db = Chroma.from_documents(texts, embedding_function) @@ -75,7 +73,10 @@ def ask_ai( memory_key = "history" memory = AgentTokenBufferMemory( - memory_key=memory_key, llm=llm, chat_memory=message_history, max_token_limit=1000 + memory_key=memory_key, + llm=llm, + chat_memory=message_history, + max_token_limit=1000, ) system_message = SystemMessage(content=(message_for_the_prompt)) diff --git a/apps/api/src/services/orgs/orgs.py b/apps/api/src/services/orgs/orgs.py index 7e74b1b2..262adb93 100644 --- a/apps/api/src/services/orgs/orgs.py +++ b/apps/api/src/services/orgs/orgs.py @@ -169,7 +169,7 @@ async def create_org( limits_enabled=False, max_asks=0, ), - embeddings="all-MiniLM-L6-v2", + embeddings="text-embedding-ada-002", ai_model="gpt-3.5-turbo", features=AIEnabledFeatures( editor=False, @@ -531,8 +531,6 @@ async def get_org_join_mechanism( return signup_mechanism - - ## 🔒 RBAC Utils ##