Depending on the requirement—be it a structured exact search or a similarity-based unstructured, fuzzy search—we can have a heterogeneous mix of structured, semistructured, and unstructured information to give the right context to enterprise users....
The first SFEV calculates relevance based on keyword-content similarity and the second based on conceptual relationships between images derived using WordNet. The results of the experiment suggest that semantic-guided search is significantly more effective than similarity-guided search for discovering and...
similarities.annoy –Approximate Vector Search using Annoy similarities.nmslib –Approximate Vector Search using NMSLIB similarities.levenshtein –Fast soft-cosine semantic similarity search similarities.fastss –Fast Levenshtein edit distance test.utils –Internal testing functions topic_coherence.aggregation –Ag...
search using methods like similarity search or maximum marginal reference search which we have here and this would return the relevant slice of data which in our case would be an entire paragraph but we could continue to harness the power of the llm to contextually compress the response so ...
The appropriateness of the semantic similarity approach requires verification, e.g. by applying it to other convergence settings. 展开 关键词: Forecasting Industry convergence IPC co-classification analyses Patents Semantic analyses DOI: 10.1108/FS-10-2012-0075 ...
Semantic search using word embeddings (word2vec and glove support out of the box) Configurable similarity threshold Context display (before and after matching lines) Color-coded output for matched words and line numbers Support for reading from files or standard input Configurable via JSON file and...
While semantic and episodic memory have been shown to influence each other, uncertainty remains as to how this interplay occurs. We introduce a behavioral representational similarity analysis approach to assess whether semantic space can be subtly re-scu
Semantic Kernel vs LangChain The repo tries to compare Semantic Kernel and LangChain to show the difference and similarity between them.LangChainSemantic KernelNote Chains Kernel Construct sequences of calls Agents Planner Auto create chains to address novel needs for a user Tools Plugins (semantic ...
Type in the search box those seed terms that most generally reflect your target topics and clickSearch. After the tool has collected keyword ideas, you can further analyze them inKeyword Sandboxwhere they are automatically grouped by themes according to different levels of semantic similarity. You ...
A different approach to information retrieval that attracts more interest is called a concept-based search. It is based on estimating relatedness/similarities between concepts. A number of approaches have been presented addressing the problem of similarity computation [1], [3], [6], [7], [10]...