importchromadbfromchromadb.configimportSettingsfromchromadb.utilsimportembedding_functionsdefault_ef=embedding_functions.DefaultEmbeddingFunction()# chroma内置的向量转换模型 -- all-MiniLM-L6-v2# def get_embeddings(texts, model="text-embedding-ada-002", dimensions=None):# '''封装 OpenAI 的 Embedding 模...
print(embedding_functions.DefaultEmbeddingFunction) 如果上述代码没有抛出异常,并且能够正确打印出函数名,那么说明embedding_functions已经成功导入。 如果导入失败,提供错误排查建议: 如果在尝试导入embedding_functions时遇到任何异常(如ModuleNotFoundError),那么可能是因为chromadb库没有正确安装,或者安装的版本不包含util...
# 通过Dmeta-Embedding API推理 import chromadb.utils.embedding_functions as embedding_functions dmeta_api_ef = embedding_functions.OpenAIEmbeddingFunction( api_key="your_key", api_base="https://api.dmetasoul.com/v1", model_name="DMetaSoul/Dmeta-embedding" ) DE = dmeta_api_ef 1.2)如果采...
What happened? I am using js api and I have copied the code fromhttps://docs.trychroma.com/getting-started. I realised that we need to set embeddings explicitly. I am using Ollama. So, I am trying to load... import { OllamaEmbeddingFunction } from 'chromadb' ...
chromadb version 0.5.7, chroma-hnswlib 0.7.6 (this was installed by chroma, not me directly) python 3.10.12 Ubuntu 22.04 Relevant log output ValueError: Expected EmbeddingFunction.__call__ to have the following signature: odict_keys(['self','input']), got odict_keys(['self','args',...
db = Chroma(persist_directory="embeddings\\",embedding_function=embedding) TM199January 22, 2024, 1:15pm6 Hi sheena. You are right that the embedding function is used again. However, it is not used to embed the original documents again (They can be loaded from disc, as you already found...
Chromadb + Langchain with SentenceTransformerEmbeddingFunction抛出sqlite3 >= 3.35.0错误，尽管sqlite3...
#将 document 通过 embeddings 对象计算 embedding 向量信息并存入 Chroma 向量数据库,用于后续匹配查询 vector_store_path= r"./vector_store"docsearch= Chroma(persist_directory=vector_store_path, embedding_function=embeddings) 参考链接: https://zhuanlan.zhihu.com/p/622017658?utm_id=0&wd=&eqid=d858064200...
Chromadb + Langchain with SentenceTransformerEmbeddingFunction抛出sqlite3 >= 3.35.0错误，尽管sqlite3...
persist_directory='db', embedding_function=embedding) # 检索Top4 retriever = vectordb.as...