if chunking_strategy == "semantic": return self.chunk_semantically( text, embedding_model_name=embedding_model_name, tokenizer=tokenizer, ) elif chunking_strategy == "fixed": if chunk_size < 4: raise ValueError("Chunk size must be >= 4.") return self.chunk_by_tokens(text, chunk_size, ...
For example, you might start with a basic RAG chunking strategy that splits text by paragraphs, then experiment with a more sophisticated approach that considers sentence boundaries and semantic units. Or you could test how adding different types of metadata to your chunks—like document titles, ...
taking into account the number of resources you have, the technical skill of your resources, and the volume of documents you have to process. To achieve an optimal chunking strategy, you need to observe the advantages and tradeoffs of each of the approaches you test to ensure you're choosing...
OpenAI recently added a new feature to their library, which says we cancustomize the chunking strategyused to split and store files in vector stores using the new parameter"chunking_strategy"to be usedwhile creating a vector store. If I try creating a n...
Since chunking frequently co-occurring events improves reaction time at the cost of overall accuracy, chunking can be a rational strategy to act faster. We tested and verified this prediction in a second experiment by training participants on sequences generated from a first-order Markovian ...
从提供的内容来看,"late chunking"是利用长上下文嵌入模型对长度超出模型容量的文本进行分块的一种方法,目的是在对文本进行分块之后保持尽量多的上下文信息,从而在后续的上下文敏感处理过程(如嵌入生成)中提高文本表示的准确性。 关键思路和实现步骤如下:
This study examined strategy use in producing lexical collocations among freshman English majors at the Chinese Culture University. Divided into two groups... CP Liu 被引量: 33发表: 2000年 Reflexiones acerca de construcciones verbo-nominales/cvn This contribution deals with the great variety of phen...
<div p-id="p-0001">Techniques are provided for dynamically creating index files for streaming media based on a determined chunking strategy. The chunking strategy can be determined using historical da
I wanted to propose a new chunking strategy for splitting markdown documents while keeping the original structure of the document. It leverages the fact that content was already processed by a human when being written, so headers should give some sort of information when it comes to how content...
So-called "basic" chunking was recently added to the `unstructured` library as an alternative to the `by_title` chunking strategy. Along with that new strategy, support for overlap was added. This commit adds those options to the REST API.main...