然而,现有的在线解决方案描述了这样做: from langchain.vectorstores import Chroma db = Chroma.from_documents(texts, embeddings) docs_score = db.similarity_search_with_score(query=query, distance_metric="cos", k = 6) 我不确定如何集成此代码或者是否有更好的解决方案。
Whereas it should be possible to filter by metadata : langchain.vectorstores.chroma.similarity_search takes a filter input parameter but do not forward it to langchain.vectorstores.chroma.similarity_search_with_score langchain.vectorstor...
This solution assumes that thesimilarity_search_with_scoremethod in theChromaclass fromlangchain/vectorstores/chroma.pyfile is used to perform the similarity search. This method uses the_embedding_functionto embed the query. If the_embedding_functionis not None, it embeds the query and uses the ...
Vector Basics Vector Similarity Encode Objects in Embeddings Word Embeddings Text Embeddings Get Started With ChromaDB, an Open-Source Vector Database What Is a Vector Database? Meet ChromaDB for LLM Applications Practical Example: Add Context for a Large Language Model (LLM) Prepare and Inspe...
similarity_search_with_score(query="FREDERICK", k=4) print(result) def main(): # init_chromadb() query_chromadb() if __name__ == '__main__': main() INFO:chromadb:Running Chroma using direct local API. WARNING:chromadb:Using embedded DuckDB with persistence: data will be stored in...
texts=check_chroma["documents"] text_emb_pairs=zip(texts,embeddings) multidocs_faiss=FAISS.from_embeddings(text_embeddings=text_emb_pairs,embedding=HuggingFaceEmbeddings()) retriever_multi_faiss=multidocs_faiss.as_retriever(search_type="similarity_score_threshold",search_kwargs={"score_threshold": 0.2...
Semantic Image Search (server-side)Search for images with text (Supabase)code,demo Vanilla JavaScriptIn-browser object detectionvideo,code,demo ReactMultilingual translation websitecode,demo Text to speech (client-side)In-browser speech synthesiscode,demo ...
pip3 install chromadb on MacOS 13 (i9 hardware) fails: Building wheels for collected packages: hnswlib Building wheel for hnswlib (pyproject.toml) ... error error: subprocess-exited-with-error × Building wheel for hnswlib (pyproject.toml...
The issue you're experiencing might be due to the way theChromavector store handles the search. TheChromavector store uses cosine similarity to find the most similar vectors to the query vector. If multiple vectors have the same cosine similarity score, they might all be returned, leading to ...
retriever_multi_faiss=multidocs_faiss.as_retriever(search_type="similarity_score_threshold",search_kwargs={"score_threshold": 0.2, 'k': 3}) it throw error: ...\langchain\vectorstores\faiss.py", line 562, in __from index = faiss.IndexFlatL2(len(embeddings[0])) ...