我了解到这个工具MultiVectorRetriever 对更小的部分执行向量搜索,但以更大的部分检索原始文档数据。这就是它的操作方式!当我回头查看这段代码,试图理解为什么它会这样工作时,我注意到在创建MultiVectorRetriever对象时,他们设定了id_key="doc_id"参数。这个细节非常微妙,很容易被忽视。
MultiVector Retriever 时序图 LangChain 多向量检索器的核心流程: 1. 创建多向量检索器对象,传入向量存储、文档存储和文档 ID 键名。 2. 对每个文档: 生成唯一的文档 ID; (可选)将文档拆分成更小的块,将块存储到向量存储中,并将文档 ID 作为元数据; (可选)为文档创建摘要向量,存储到向量存储中,同样带上文...
Multimodal RAG using Langchain Expression Language And GPT4-Vision MLLM IS A STRONG RERANKER: ADVANCING MULTIMODAL RETRIEVAL-AUGMENTED GENERATION VIA KNOWLEDGE-ENHANCED RERANKING AND NOISEINJECTED TRAINING MMED-RAG: VERSATILE MULTIMODAL RAG SYSTEM FOR MEDICAL VISION LANGUAGE MODELS UniRAG: Universal Retri...
I tried to make aMultimodal RAGsystem withLangChainandRedisas a cache database. When a person starts a new conversation and uploads a file, it creates aMultiVectorRetrieverand uses that retriever to answer questions from the user. I want to store that retriever in Redis to avoid redundant cr...
将新的枚举值添加到MultiVectorRetriever.SearchType中。
Additionally, @zc277584121 already introduced the MilvusCollectionHybridSearchRetriever, which enables hybrid search against pre-defined collections directly via pymilvus. However, this method doesn't take full advantage of the many useful features offered by langchain_milvus when building a collection: ...
MultiVector Retriever 时序图 LangChain 多向量检索器的核心流程: 1. 创建多向量检索器对象,传入向量存储、文档存储和文档 ID 键名。 2. 对每个文档: 生成唯一的文档 ID; (可选)将文档拆分成更小的块,将块存储到向量存储中,并将文档 ID 作为元数据; ...
run_manager: CallbackManagerForRetrieverRun, **kwargs: Any, ) -> List[Document]: requests = self._build_ann_search_requests(query) search_result = self.collection.hybrid_search( requests, self.rerank, limit=self.top_k, output_fields=self.output_fields ) search_result = self.hybrid_search...
LangChain MultiVectorRetriever Quick ReferenceIntroductionPreparation1. Document Retrieval2. Batch Processing3. Streaming4. Configuration and Customization5. Event Handling and Error Handling6. Best PracticesConclusion License This Notebook has been released under the Apache 2.0 open source license. Continue...