Manticore Search developed Vector Search for Long Documents

Working with large documents in artificial intelligence and machine learning applications always gives difficulty. Manticore Search integrated the automatic chunking (particle) feature into its own vector search system to solve this problem. This innovation is possible to process and peer longer documents effectively.

The main benefits of new features are:

• Automatic document shredding significantly reduces the time users spend for data pretreatment
• The accuracy of vector search is increased, because the relevant information is easier in parts
• Trading speed is improved for developers working with larger documentation sets
• Both text and semantic search are available in the same search engine
• Reduces server costs by optimizing system resource usage

This update is a valuable step for researchers as well as companies working with large data sets. Instead of manually split documents, rely on Manticore Search’s own algorithm, accelerates the development process and provides consistency of results.

Vector search technology is now used in a wide range from LLM-based applications to information bases. This new solution of Manticore Search will contribute to making data processing more accessible and efficient in this ecosystem.