Query multiple documents With LlamaIndex, it’s easy to query multiple documents. This functionality is enabled through the `SubQuestionQueryEngine` class. When given a query, the query engine generates a “query plan” consisting of sub-queries against sub-documents, which are then synthesized ...
"index.add_documents([doc1,doc2])# 检索文档query="Llama-Index是什么?"response=index.query(query)print(response) 注意:以上代码仅为示例,实际使用时需要根据具体需求进行调整。代码中的注释已遵循标准规范。 二、环境搭建 2.1 系统要求 Llama-Index 是一个基于Python的工具,以下列出了搭建Llama-Index环境所需...
DocumentSummaryIndex.from_documents( city_docs, llm=chatgpt, transformations=[splitter], response_synthesizer=response_synthesizer, show_progress=True, ) current doc id: Toronto current doc id: Seattle current doc id: Chicago current doc id: Boston current doc id: Houston doc_summary_index.get_...
要加载多个HTML文件并解析它们以获取非结构化文本和结构化表格，您可以使用LlamaIndex框架中的HTMLTagReader...
from_documents( documents, storage_context=storage_context )query_engine= index.as_query_engine...
documents = SimpleDirectoryReader("data").load_data() index = VectorStoreIndex.from_documents(documents) query_engine = index.as_query_engine() response = query_engine.query("What did the author do growing up?") print(response) 可见,就算您对Python并无深入的了解,也能依靠llama_index软件包构建...
Breadcrumbs llama_index / CHANGELOG.mdTop File metadata and controls Preview Code Blame 4588 lines (2797 loc) · 135 KB Raw ChangeLog [2024-06-14] llama-index-core [0.10.45] Fix parsing sql query.py (#14109) Implement NDCG metric (#14100) Fixed System Prompts for Structured Generation ...
19 fulltext_index_name=FTS_INDEX_NAME, 20 embedding_key="embedding", 21 text_key="text", 22 ) 23 # If the collection has documents with embeddings already, create the vector store index from the vector store 24 if collection.count_documents({}) > 0: 25 vector_store_index = VectorStor...
nodes = node_parser(documents)print(f"loaded{len(nodes)}nodes") 2 -生成评估问题/答案对 作者使用 GPT-4 Turbo (gpt-4–1106-preview) 生成评估数据集。 如果评估数据集 JSON 文件已存在,加载它。如果没有,调用DatasetGenerator生成问答数据集并将数据集保存到 JSON 文件。
into meaningful sentences. It handles cases where periods are used in abbreviations, domain names, or numbers and also ensures complete sentences even when quotes are used. It also takes care of pagination issues commonly found in scanned documents, such as awkward newlines and hyphenated line ...