Spaces:
Running
Running
changed qdrant collection to 1000char
Browse files- app_chatbot.py β _archive/app_chatbot.py +0 -0
- app_generic.py β _archive/app_generic.py +0 -0
- app_old.py β _archive/app_old.py +0 -0
- app_passagefinder.py β _archive/app_passagefinder.py +0 -0
- streamlit_app.py β _archive/streamlit_app.py +0 -0
- src/generic_bot.py +1 -1
- src/passage_finder.py +1 -1
- src/srf_bot.py +1 -1
- src/utils/qdrant_manager.py +1 -1
- srf_chatbot_v2.code-workspace +11 -0
app_chatbot.py β _archive/app_chatbot.py
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app_generic.py β _archive/app_generic.py
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app_old.py β _archive/app_old.py
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app_passagefinder.py β _archive/app_passagefinder.py
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streamlit_app.py β _archive/streamlit_app.py
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src/generic_bot.py
CHANGED
@@ -26,7 +26,7 @@ load_dotenv('/Users/nadaa/Documents/code/py_innovations/srf_chatbot_v2/.env')
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class ToolManager:
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def __init__(self, collection_name="
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self.tools = []
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self.qdrant = qm.QdrantManager(collection_name=collection_name)
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self.vectorstore = self.qdrant.get_vectorstore()
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class ToolManager:
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def __init__(self, collection_name="openai_large_chunks_1000char"):
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self.tools = []
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self.qdrant = qm.QdrantManager(collection_name=collection_name)
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self.vectorstore = self.qdrant.get_vectorstore()
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src/passage_finder.py
CHANGED
@@ -40,7 +40,7 @@ class AgentState(TypedDict):
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class ToolManager:
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-
def __init__(self, collection_name="
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self.tools = []
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self.qdrant = qm.QdrantManager(collection_name=collection_name)
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self.vectorstore = self.qdrant.get_vectorstore()
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class ToolManager:
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def __init__(self, collection_name="openai_large_chunks_1000char"):
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self.tools = []
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self.qdrant = qm.QdrantManager(collection_name=collection_name)
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self.vectorstore = self.qdrant.get_vectorstore()
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src/srf_bot.py
CHANGED
@@ -26,7 +26,7 @@ load_dotenv('/Users/nadaa/Documents/code/py_innovations/srf_chatbot_v2/.env')
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class ToolManager:
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-
def __init__(self, collection_name="
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self.tools = []
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self.qdrant = qm.QdrantManager(collection_name=collection_name)
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self.vectorstore = self.qdrant.get_vectorstore()
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class ToolManager:
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def __init__(self, collection_name="openai_large_chunks_1000char"):
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self.tools = []
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self.qdrant = qm.QdrantManager(collection_name=collection_name)
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self.vectorstore = self.qdrant.get_vectorstore()
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src/utils/qdrant_manager.py
CHANGED
@@ -14,7 +14,7 @@ load_dotenv()
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# Qdrant Collections Params
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openai_embeddings = OpenAIEmbeddings(model=settings.EMBEDDINGS_MODEL_NAME)
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QDRANT_COLLECTIONS_PARAMS = {'
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'embeddings_model_name': 'text-embedding-3-large',
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'vector_size': 3072,
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'distance': Distance.COSINE,
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# Qdrant Collections Params
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openai_embeddings = OpenAIEmbeddings(model=settings.EMBEDDINGS_MODEL_NAME)
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QDRANT_COLLECTIONS_PARAMS = {'openai_large_chunks_1000char': {'collection_name': 'openai_large_chunks_1000char',
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'embeddings_model_name': 'text-embedding-3-large',
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'vector_size': 3072,
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'distance': Distance.COSINE,
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srf_chatbot_v2.code-workspace
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@@ -0,0 +1,11 @@
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{
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"folders": [
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{
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"path": "."
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},
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{
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"path": "../py_innovations"
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}
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],
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"settings": {}
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}
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