The complete search solution
Hybrid search combines the exact term matching of lexical search with the semantic understanding of vector search, providing the highest search accuracy and a balanced, comprehensive retrieval of relevant documents
Hybrid Search Benefits
Superior Relevancy
Merge the precision of lexical search with the recall of vector search and retrieve both exact matches and contextually similar results.
Higher Flexibility
Adjust weights of lexical and vector search, adapting to exact matches or semantic similarity.
Efficient Scalability
Scale efficiently with large datasets by optimizing lexical indexing and vector embedding
Boosting Text Matches with Vector Similarity
Leveraging semantic understanding alongside keyword matching enables the capturing of queries contextual meaning, providing more accurate results by aligning similar concepts and terms, and improving search precision and user satisfaction.
Customize and prioritize queries
Customize queries by adjusting the importance of vector versus lexical search. By assigning higher weights to vectors, semantic similarities are prioritized, while increasing lexical weights emphasizes exact keyword matches, enabling fine-tuned relevance based on specific search needs.
Power multi vector search
Using multiple vectors in a single query allows for the integration of unstructured data from various sources, enhancing query accuracy. This approach captures diverse semantic contexts, enabling a more comprehensive understanding of the user's intent and delivering more relevant and precise search results.
Optimize search relevancy by combining classic and vector search, achieving breadth and depth in information retrieval.
Search Engines
Lexical search is crucial for exact matches, even with modern semantic techniques.
Databases
Quickly find records with specific keywords or phrases. The SQL LIKE operator is a common example.
Text Editors
Features like "Find" and "Replace" in text editors rely on lexical search to locate specific strings within documents.
Code Editors and IDEs
Find occurrences of variables, functions, or other code snippets within large codebases.
Command-Line Tools
Tools like grep in Unix-based systems perform lexical search to filter and find text within files.
