forked from open-webui/open-webui
Merge pull request #1756 from buroa/buroa/toggle-hybrid
feat: toggle hybrid search
This commit is contained in:
commit
543707eefd
5 changed files with 156 additions and 103 deletions
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@ -70,6 +70,7 @@ from config import (
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RAG_EMBEDDING_MODEL,
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RAG_EMBEDDING_MODEL,
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RAG_EMBEDDING_MODEL_AUTO_UPDATE,
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RAG_EMBEDDING_MODEL_AUTO_UPDATE,
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RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE,
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RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE,
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ENABLE_RAG_HYBRID_SEARCH,
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RAG_RERANKING_MODEL,
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RAG_RERANKING_MODEL,
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RAG_RERANKING_MODEL_AUTO_UPDATE,
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RAG_RERANKING_MODEL_AUTO_UPDATE,
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RAG_RERANKING_MODEL_TRUST_REMOTE_CODE,
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RAG_RERANKING_MODEL_TRUST_REMOTE_CODE,
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@ -91,6 +92,9 @@ app = FastAPI()
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app.state.TOP_K = RAG_TOP_K
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app.state.TOP_K = RAG_TOP_K
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app.state.RELEVANCE_THRESHOLD = RAG_RELEVANCE_THRESHOLD
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app.state.RELEVANCE_THRESHOLD = RAG_RELEVANCE_THRESHOLD
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app.state.ENABLE_RAG_HYBRID_SEARCH = ENABLE_RAG_HYBRID_SEARCH
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app.state.CHUNK_SIZE = CHUNK_SIZE
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app.state.CHUNK_SIZE = CHUNK_SIZE
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app.state.CHUNK_OVERLAP = CHUNK_OVERLAP
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app.state.CHUNK_OVERLAP = CHUNK_OVERLAP
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@ -321,6 +325,7 @@ async def get_query_settings(user=Depends(get_admin_user)):
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"template": app.state.RAG_TEMPLATE,
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"template": app.state.RAG_TEMPLATE,
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"k": app.state.TOP_K,
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"k": app.state.TOP_K,
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"r": app.state.RELEVANCE_THRESHOLD,
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"r": app.state.RELEVANCE_THRESHOLD,
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"hybrid": app.state.ENABLE_RAG_HYBRID_SEARCH,
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}
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}
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@ -328,6 +333,7 @@ class QuerySettingsForm(BaseModel):
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k: Optional[int] = None
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k: Optional[int] = None
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r: Optional[float] = None
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r: Optional[float] = None
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template: Optional[str] = None
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template: Optional[str] = None
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hybrid: Optional[bool] = None
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@app.post("/query/settings/update")
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@app.post("/query/settings/update")
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@ -337,7 +343,14 @@ async def update_query_settings(
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app.state.RAG_TEMPLATE = form_data.template if form_data.template else RAG_TEMPLATE
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app.state.RAG_TEMPLATE = form_data.template if form_data.template else RAG_TEMPLATE
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app.state.TOP_K = form_data.k if form_data.k else 4
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app.state.TOP_K = form_data.k if form_data.k else 4
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app.state.RELEVANCE_THRESHOLD = form_data.r if form_data.r else 0.0
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app.state.RELEVANCE_THRESHOLD = form_data.r if form_data.r else 0.0
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return {"status": True, "template": app.state.RAG_TEMPLATE}
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app.state.ENABLE_RAG_HYBRID_SEARCH = form_data.hybrid if form_data.hybrid else False
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return {
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"status": True,
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"template": app.state.RAG_TEMPLATE,
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"k": app.state.TOP_K,
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"r": app.state.RELEVANCE_THRESHOLD,
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"hybrid": app.state.ENABLE_RAG_HYBRID_SEARCH,
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}
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class QueryDocForm(BaseModel):
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class QueryDocForm(BaseModel):
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@ -345,6 +358,7 @@ class QueryDocForm(BaseModel):
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query: str
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query: str
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k: Optional[int] = None
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k: Optional[int] = None
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r: Optional[float] = None
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r: Optional[float] = None
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hybrid: Optional[bool] = None
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@app.post("/query/doc")
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@app.post("/query/doc")
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@ -368,6 +382,11 @@ def query_doc_handler(
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r=form_data.r if form_data.r else app.state.RELEVANCE_THRESHOLD,
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r=form_data.r if form_data.r else app.state.RELEVANCE_THRESHOLD,
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embeddings_function=embeddings_function,
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embeddings_function=embeddings_function,
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reranking_function=app.state.sentence_transformer_rf,
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reranking_function=app.state.sentence_transformer_rf,
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hybrid_search=(
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form_data.hybrid
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if form_data.hybrid
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else app.state.ENABLE_RAG_HYBRID_SEARCH
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),
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)
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)
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except Exception as e:
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except Exception as e:
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log.exception(e)
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log.exception(e)
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@ -382,6 +401,7 @@ class QueryCollectionsForm(BaseModel):
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query: str
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query: str
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k: Optional[int] = None
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k: Optional[int] = None
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r: Optional[float] = None
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r: Optional[float] = None
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hybrid: Optional[bool] = None
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@app.post("/query/collection")
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@app.post("/query/collection")
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@ -405,6 +425,11 @@ def query_collection_handler(
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r=form_data.r if form_data.r else app.state.RELEVANCE_THRESHOLD,
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r=form_data.r if form_data.r else app.state.RELEVANCE_THRESHOLD,
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embeddings_function=embeddings_function,
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embeddings_function=embeddings_function,
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reranking_function=app.state.sentence_transformer_rf,
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reranking_function=app.state.sentence_transformer_rf,
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hybrid_search=(
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form_data.hybrid
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if form_data.hybrid
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else app.state.ENABLE_RAG_HYBRID_SEARCH
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),
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)
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)
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except Exception as e:
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except Exception as e:
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log.exception(e)
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log.exception(e)
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@ -18,8 +18,6 @@ from langchain.retrievers import (
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EnsembleRetriever,
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EnsembleRetriever,
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)
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)
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from sentence_transformers import CrossEncoder
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from typing import Optional
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from typing import Optional
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from config import SRC_LOG_LEVELS, CHROMA_CLIENT
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from config import SRC_LOG_LEVELS, CHROMA_CLIENT
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@ -32,16 +30,15 @@ def query_embeddings_doc(
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collection_name: str,
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collection_name: str,
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query: str,
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query: str,
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embeddings_function,
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embeddings_function,
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reranking_function,
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k: int,
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k: int,
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reranking_function: Optional[CrossEncoder] = None,
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r: int,
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r: Optional[float] = None,
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hybrid_search: bool,
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):
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):
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try:
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try:
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collection = CHROMA_CLIENT.get_collection(name=collection_name)
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if reranking_function:
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if hybrid_search:
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# if you use docker use the model from the environment variable
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collection = CHROMA_CLIENT.get_collection(name=collection_name)
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documents = collection.get() # get all documents
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documents = collection.get() # get all documents
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bm25_retriever = BM25Retriever.from_texts(
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bm25_retriever = BM25Retriever.from_texts(
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texts=documents.get("documents"),
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texts=documents.get("documents"),
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@ -77,24 +74,19 @@ def query_embeddings_doc(
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"metadatas": [[d.metadata for d in result]],
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"metadatas": [[d.metadata for d in result]],
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}
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}
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else:
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else:
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# if you use docker use the model from the environment variable
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query_embeddings = embeddings_function(query)
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query_embeddings = embeddings_function(query)
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log.info(f"query_embeddings_doc {query_embeddings}")
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collection = CHROMA_CLIENT.get_collection(name=collection_name)
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result = collection.query(
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result = collection.query(
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query_embeddings=[query_embeddings],
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query_embeddings=[query_embeddings],
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n_results=k,
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n_results=k,
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)
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)
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log.info(f"query_embeddings_doc:result {result}")
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log.info(f"query_embeddings_doc:result {result}")
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return result
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return result
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except Exception as e:
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except Exception as e:
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raise e
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raise e
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def merge_and_sort_query_results(query_results, k):
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def merge_and_sort_query_results(query_results, k, reverse=False):
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# Initialize lists to store combined data
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# Initialize lists to store combined data
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combined_distances = []
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combined_distances = []
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combined_documents = []
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combined_documents = []
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@ -109,7 +101,7 @@ def merge_and_sort_query_results(query_results, k):
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combined = list(zip(combined_distances, combined_documents, combined_metadatas))
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combined = list(zip(combined_distances, combined_documents, combined_metadatas))
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# Sort the list based on distances
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# Sort the list based on distances
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combined.sort(key=lambda x: x[0])
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combined.sort(key=lambda x: x[0], reverse=reverse)
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# We don't have anything :-(
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# We don't have anything :-(
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if not combined:
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if not combined:
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@ -142,6 +134,7 @@ def query_embeddings_collection(
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r: float,
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r: float,
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embeddings_function,
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embeddings_function,
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reranking_function,
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reranking_function,
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hybrid_search: bool,
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):
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):
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results = []
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results = []
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@ -155,12 +148,14 @@ def query_embeddings_collection(
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r=r,
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r=r,
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embeddings_function=embeddings_function,
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embeddings_function=embeddings_function,
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reranking_function=reranking_function,
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reranking_function=reranking_function,
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hybrid_search=hybrid_search,
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)
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)
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results.append(result)
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results.append(result)
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except:
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except:
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pass
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pass
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return merge_and_sort_query_results(results, k)
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reverse = hybrid and reranking_function is not None
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return merge_and_sort_query_results(results, k=k, reverse=reverse)
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def rag_template(template: str, context: str, query: str):
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def rag_template(template: str, context: str, query: str):
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@ -211,6 +206,7 @@ def rag_messages(
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template,
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template,
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k,
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k,
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r,
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r,
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hybrid_search,
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embedding_engine,
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embedding_engine,
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embedding_model,
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embedding_model,
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embedding_function,
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embedding_function,
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@ -283,6 +279,7 @@ def rag_messages(
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r=r,
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r=r,
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embeddings_function=embeddings_function,
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embeddings_function=embeddings_function,
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reranking_function=reranking_function,
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reranking_function=reranking_function,
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hybrid_search=hybrid_search,
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)
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)
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else:
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else:
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context = query_embeddings_doc(
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context = query_embeddings_doc(
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@ -292,6 +289,7 @@ def rag_messages(
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r=r,
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r=r,
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embeddings_function=embeddings_function,
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embeddings_function=embeddings_function,
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reranking_function=reranking_function,
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reranking_function=reranking_function,
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hybrid_search=hybrid_search,
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)
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)
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except Exception as e:
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except Exception as e:
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log.exception(e)
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log.exception(e)
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@ -479,7 +477,9 @@ class RerankCompressor(BaseDocumentCompressor):
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(d, s) for d, s in docs_with_scores if s >= self.r_score
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(d, s) for d, s in docs_with_scores if s >= self.r_score
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]
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]
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result = sorted(docs_with_scores, key=operator.itemgetter(1), reverse=True)
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reverse = self.reranking_function is not None
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result = sorted(docs_with_scores, key=operator.itemgetter(1), reverse=reverse)
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|
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final_results = []
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final_results = []
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for doc, doc_score in result[: self.top_n]:
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for doc, doc_score in result[: self.top_n]:
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metadata = doc.metadata
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metadata = doc.metadata
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|
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@ -423,6 +423,10 @@ CHROMA_DATA_PATH = f"{DATA_DIR}/vector_db"
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RAG_TOP_K = int(os.environ.get("RAG_TOP_K", "5"))
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RAG_TOP_K = int(os.environ.get("RAG_TOP_K", "5"))
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RAG_RELEVANCE_THRESHOLD = float(os.environ.get("RAG_RELEVANCE_THRESHOLD", "0.0"))
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RAG_RELEVANCE_THRESHOLD = float(os.environ.get("RAG_RELEVANCE_THRESHOLD", "0.0"))
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|
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ENABLE_RAG_HYBRID_SEARCH = (
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os.environ.get("ENABLE_RAG_HYBRID_SEARCH", "").lower() == "true"
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)
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|
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RAG_EMBEDDING_ENGINE = os.environ.get("RAG_EMBEDDING_ENGINE", "")
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RAG_EMBEDDING_ENGINE = os.environ.get("RAG_EMBEDDING_ENGINE", "")
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|
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RAG_EMBEDDING_MODEL = os.environ.get(
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RAG_EMBEDDING_MODEL = os.environ.get(
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|
|
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@ -121,6 +121,7 @@ class RAGMiddleware(BaseHTTPMiddleware):
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rag_app.state.RAG_TEMPLATE,
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rag_app.state.RAG_TEMPLATE,
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rag_app.state.TOP_K,
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rag_app.state.TOP_K,
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rag_app.state.RELEVANCE_THRESHOLD,
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rag_app.state.RELEVANCE_THRESHOLD,
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rag_app.state.ENABLE_RAG_HYBRID_SEARCH,
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rag_app.state.RAG_EMBEDDING_ENGINE,
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rag_app.state.RAG_EMBEDDING_ENGINE,
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rag_app.state.RAG_EMBEDDING_MODEL,
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rag_app.state.RAG_EMBEDDING_MODEL,
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rag_app.state.sentence_transformer_ef,
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rag_app.state.sentence_transformer_ef,
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|
|
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@ -43,7 +43,8 @@
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let querySettings = {
|
let querySettings = {
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template: '',
|
template: '',
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r: 0.0,
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r: 0.0,
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k: 4
|
k: 4,
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|
hybrid: false
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};
|
};
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|
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const scanHandler = async () => {
|
const scanHandler = async () => {
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|
@ -174,6 +175,12 @@
|
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}
|
}
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};
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};
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|
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const toggleHybridSearch = async () => {
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|
querySettings.hybrid = !querySettings.hybrid;
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|
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|
querySettings = await updateQuerySettings(localStorage.token, querySettings);
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};
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|
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onMount(async () => {
|
onMount(async () => {
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const res = await getRAGConfig(localStorage.token);
|
const res = await getRAGConfig(localStorage.token);
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|
|
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|
@ -202,6 +209,24 @@
|
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<div>
|
<div>
|
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<div class=" mb-2 text-sm font-medium">{$i18n.t('General Settings')}</div>
|
<div class=" mb-2 text-sm font-medium">{$i18n.t('General Settings')}</div>
|
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|
|
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|
<div class=" flex w-full justify-between">
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|
<div class=" self-center text-xs font-medium">{$i18n.t('Hybrid Search')}</div>
|
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|
|
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|
<button
|
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|
class="p-1 px-3 text-xs flex rounded transition"
|
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|
on:click={() => {
|
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|
toggleHybridSearch();
|
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|
}}
|
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|
type="button"
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|
>
|
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|
{#if querySettings.hybrid === true}
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|
<span class="ml-2 self-center">{$i18n.t('On')}</span>
|
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|
{:else}
|
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|
<span class="ml-2 self-center">{$i18n.t('Off')}</span>
|
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|
{/if}
|
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|
</button>
|
||||||
|
</div>
|
||||||
|
|
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<div class=" flex w-full justify-between">
|
<div class=" flex w-full justify-between">
|
||||||
<div class=" self-center text-xs font-medium">{$i18n.t('Embedding Model Engine')}</div>
|
<div class=" self-center text-xs font-medium">{$i18n.t('Embedding Model Engine')}</div>
|
||||||
<div class="flex items-center relative">
|
<div class="flex items-center relative">
|
||||||
|
@ -386,78 +411,74 @@
|
||||||
|
|
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<hr class=" dark:border-gray-700 my-3" />
|
<hr class=" dark:border-gray-700 my-3" />
|
||||||
|
|
||||||
<div class=" ">
|
{#if querySettings.hybrid === true}
|
||||||
<div class=" mb-2 text-sm font-medium">{$i18n.t('Update Reranking Model')}</div>
|
<div class=" ">
|
||||||
|
<div class=" mb-2 text-sm font-medium">{$i18n.t('Update Reranking Model')}</div>
|
||||||
|
|
||||||
<div class="flex w-full">
|
<div class="flex w-full">
|
||||||
<div class="flex-1 mr-2">
|
<div class="flex-1 mr-2">
|
||||||
<input
|
<input
|
||||||
class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
|
class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||||
placeholder={$i18n.t('Update reranking model (e.g. {{model}})', {
|
placeholder={$i18n.t('Update reranking model (e.g. {{model}})', {
|
||||||
model: rerankingModel.slice(-40)
|
model: rerankingModel.slice(-40)
|
||||||
})}
|
})}
|
||||||
bind:value={rerankingModel}
|
bind:value={rerankingModel}
|
||||||
/>
|
/>
|
||||||
</div>
|
</div>
|
||||||
<button
|
<button
|
||||||
class="px-2.5 bg-gray-100 hover:bg-gray-200 text-gray-800 dark:bg-gray-850 dark:hover:bg-gray-800 dark:text-gray-100 rounded-lg transition"
|
class="px-2.5 bg-gray-100 hover:bg-gray-200 text-gray-800 dark:bg-gray-850 dark:hover:bg-gray-800 dark:text-gray-100 rounded-lg transition"
|
||||||
on:click={() => {
|
on:click={() => {
|
||||||
rerankingModelUpdateHandler();
|
rerankingModelUpdateHandler();
|
||||||
}}
|
}}
|
||||||
disabled={updateRerankingModelLoading}
|
disabled={updateRerankingModelLoading}
|
||||||
>
|
>
|
||||||
{#if updateRerankingModelLoading}
|
{#if updateRerankingModelLoading}
|
||||||
<div class="self-center">
|
<div class="self-center">
|
||||||
<svg
|
<svg
|
||||||
class=" w-4 h-4"
|
class=" w-4 h-4"
|
||||||
viewBox="0 0 24 24"
|
viewBox="0 0 24 24"
|
||||||
fill="currentColor"
|
fill="currentColor"
|
||||||
xmlns="http://www.w3.org/2000/svg"
|
xmlns="http://www.w3.org/2000/svg"
|
||||||
><style>
|
><style>
|
||||||
.spinner_ajPY {
|
.spinner_ajPY {
|
||||||
transform-origin: center;
|
transform-origin: center;
|
||||||
animation: spinner_AtaB 0.75s infinite linear;
|
animation: spinner_AtaB 0.75s infinite linear;
|
||||||
}
|
|
||||||
@keyframes spinner_AtaB {
|
|
||||||
100% {
|
|
||||||
transform: rotate(360deg);
|
|
||||||
}
|
}
|
||||||
}
|
@keyframes spinner_AtaB {
|
||||||
</style><path
|
100% {
|
||||||
d="M12,1A11,11,0,1,0,23,12,11,11,0,0,0,12,1Zm0,19a8,8,0,1,1,8-8A8,8,0,0,1,12,20Z"
|
transform: rotate(360deg);
|
||||||
opacity=".25"
|
}
|
||||||
/><path
|
}
|
||||||
d="M10.14,1.16a11,11,0,0,0-9,8.92A1.59,1.59,0,0,0,2.46,12,1.52,1.52,0,0,0,4.11,10.7a8,8,0,0,1,6.66-6.61A1.42,1.42,0,0,0,12,2.69h0A1.57,1.57,0,0,0,10.14,1.16Z"
|
</style><path
|
||||||
class="spinner_ajPY"
|
d="M12,1A11,11,0,1,0,23,12,11,11,0,0,0,12,1Zm0,19a8,8,0,1,1,8-8A8,8,0,0,1,12,20Z"
|
||||||
/></svg
|
opacity=".25"
|
||||||
|
/><path
|
||||||
|
d="M10.14,1.16a11,11,0,0,0-9,8.92A1.59,1.59,0,0,0,2.46,12,1.52,1.52,0,0,0,4.11,10.7a8,8,0,0,1,6.66-6.61A1.42,1.42,0,0,0,12,2.69h0A1.57,1.57,0,0,0,10.14,1.16Z"
|
||||||
|
class="spinner_ajPY"
|
||||||
|
/></svg
|
||||||
|
>
|
||||||
|
</div>
|
||||||
|
{:else}
|
||||||
|
<svg
|
||||||
|
xmlns="http://www.w3.org/2000/svg"
|
||||||
|
viewBox="0 0 16 16"
|
||||||
|
fill="currentColor"
|
||||||
|
class="w-4 h-4"
|
||||||
>
|
>
|
||||||
</div>
|
<path
|
||||||
{:else}
|
d="M8.75 2.75a.75.75 0 0 0-1.5 0v5.69L5.03 6.22a.75.75 0 0 0-1.06 1.06l3.5 3.5a.75.75 0 0 0 1.06 0l3.5-3.5a.75.75 0 0 0-1.06-1.06L8.75 8.44V2.75Z"
|
||||||
<svg
|
/>
|
||||||
xmlns="http://www.w3.org/2000/svg"
|
<path
|
||||||
viewBox="0 0 16 16"
|
d="M3.5 9.75a.75.75 0 0 0-1.5 0v1.5A2.75 2.75 0 0 0 4.75 14h6.5A2.75 2.75 0 0 0 14 11.25v-1.5a.75.75 0 0 0-1.5 0v1.5c0 .69-.56 1.25-1.25 1.25h-6.5c-.69 0-1.25-.56-1.25-1.25v-1.5Z"
|
||||||
fill="currentColor"
|
/>
|
||||||
class="w-4 h-4"
|
</svg>
|
||||||
>
|
{/if}
|
||||||
<path
|
</button>
|
||||||
d="M8.75 2.75a.75.75 0 0 0-1.5 0v5.69L5.03 6.22a.75.75 0 0 0-1.06 1.06l3.5 3.5a.75.75 0 0 0 1.06 0l3.5-3.5a.75.75 0 0 0-1.06-1.06L8.75 8.44V2.75Z"
|
</div>
|
||||||
/>
|
|
||||||
<path
|
|
||||||
d="M3.5 9.75a.75.75 0 0 0-1.5 0v1.5A2.75 2.75 0 0 0 4.75 14h6.5A2.75 2.75 0 0 0 14 11.25v-1.5a.75.75 0 0 0-1.5 0v1.5c0 .69-.56 1.25-1.25 1.25h-6.5c-.69 0-1.25-.56-1.25-1.25v-1.5Z"
|
|
||||||
/>
|
|
||||||
</svg>
|
|
||||||
{/if}
|
|
||||||
</button>
|
|
||||||
</div>
|
</div>
|
||||||
</div>
|
|
||||||
|
|
||||||
<div class="mt-2 mb-1 text-xs text-gray-400 dark:text-gray-500">
|
<hr class=" dark:border-gray-700 my-3" />
|
||||||
{$i18n.t(
|
{/if}
|
||||||
'Note: If you choose a reranking model, it will use that to score and rerank instead of the embedding model.'
|
|
||||||
)}
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<hr class=" dark:border-gray-700 my-3" />
|
|
||||||
|
|
||||||
<div class=" flex w-full justify-between">
|
<div class=" flex w-full justify-between">
|
||||||
<div class=" self-center text-xs font-medium">
|
<div class=" self-center text-xs font-medium">
|
||||||
|
@ -583,25 +604,27 @@
|
||||||
</div>
|
</div>
|
||||||
</div>
|
</div>
|
||||||
|
|
||||||
<div class=" flex">
|
{#if querySettings.hybrid === true}
|
||||||
<div class=" flex w-full justify-between">
|
<div class=" flex">
|
||||||
<div class="self-center text-xs font-medium flex-1">
|
<div class=" flex w-full justify-between">
|
||||||
{$i18n.t('Relevance Threshold')}
|
<div class="self-center text-xs font-medium flex-1">
|
||||||
</div>
|
{$i18n.t('Relevance Threshold')}
|
||||||
|
</div>
|
||||||
|
|
||||||
<div class="self-center p-3">
|
<div class="self-center p-3">
|
||||||
<input
|
<input
|
||||||
class=" w-full rounded-lg py-1.5 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
|
class=" w-full rounded-lg py-1.5 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||||
type="number"
|
type="number"
|
||||||
step="0.01"
|
step="0.01"
|
||||||
placeholder={$i18n.t('Enter Relevance Threshold')}
|
placeholder={$i18n.t('Enter Relevance Threshold')}
|
||||||
bind:value={querySettings.r}
|
bind:value={querySettings.r}
|
||||||
autocomplete="off"
|
autocomplete="off"
|
||||||
min="0.0"
|
min="0.0"
|
||||||
/>
|
/>
|
||||||
|
</div>
|
||||||
</div>
|
</div>
|
||||||
</div>
|
</div>
|
||||||
</div>
|
{/if}
|
||||||
|
|
||||||
<div>
|
<div>
|
||||||
<div class=" mb-2.5 text-sm font-medium">{$i18n.t('RAG Template')}</div>
|
<div class=" mb-2.5 text-sm font-medium">{$i18n.t('RAG Template')}</div>
|
||||||
|
|
Loading…
Reference in a new issue