如何查看 Lang Chain 中保存的 Chroma(或任何其他数据库)文档的嵌入?

Des*_*wal 6 python nlp openai-api langchain chromadb

Chroma当我使用withLangchainOpenAIembeddings时,我可以看到除文档的嵌入之外的所有内容。它总是None向我展示这一点

这是代码:

for db_collection_name in tqdm(["class1-sub2-chap3", "class2-sub3-chap4"]):
    documents = []
    doc_ids = []

    for doc_index in range(3):
        cl, sub, chap = db_collection_name.split("-")
        content = f"This is {db_collection_name}-doc{doc_index}"
        doc = Document(page_content=content, metadata={"chunk_num": doc_index, "chapter":chap, "class":cl, "subject":sub})
        documents.append(doc)
        doc_ids.append(str(doc_index))


    # # Initialize a Chroma instance with the original document
    db = Chroma.from_documents(
         collection_name=db_collection_name,
         documents=documents, ids=doc_ids,
         embedding=embeddings, 
         persist_directory="./data")
    
     db.persist()
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当我这样做时db.get(),我看到的一切都如预期的embedding那样None

{'ids': ['0', '1', '2'],
 'embeddings': None,
 'documents': ['This is class1-sub2-chap3-doc0',
  'This is class1-sub2-chap3-doc1',
  'This is class1-sub2-chap3-doc2'],
 'metadatas': [{'chunk_num': 0,
   'chapter': 'chap3',
   'class': 'class1',
   'subject': 'sub2'},
  {'chunk_num': 1, 'chapter': 'chap3', 'class': 'class1', 'subject': 'sub2'},
  {'chunk_num': 2, 'chapter': 'chap3', 'class': 'class1', 'subject': 'sub2'}]}
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我的embeddings返回时也工作正常:

len(embeddings.embed_documents(["EMBED THIS"])[0])
>> 1536
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另外,在我的./data目录中,我有嵌入文件chroma-embeddings.parquet


我尝试了文档中给出的示例,但它None也显示了

# Import Document class
from langchain.docstore.document import Document

# Initial document content and id
initial_content = "This is an initial document content"
document_id = "doc1"

# Create an instance of Document with initial content and metadata
original_doc = Document(page_content=initial_content, metadata={"page": "0"})

# Initialize a Chroma instance with the original document
new_db = Chroma.from_documents(
    collection_name="test_collection",
    documents=[original_doc],
    embedding=OpenAIEmbeddings(),  # using the same embeddings as before
    ids=[document_id],
)
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这里也new_db.get()给了我None

cel*_*ing 14

您只需要在使用 .get 时指定您也想要嵌入

# Get all embeddings
db._collection.get(include=['embeddings'])

# Get embeddings by document_id
db._collection.get(ids=['doc0', ..., 'docN'], include=['embeddings'])
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