See how Gestell compares to other solutions
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Integrated ETLEnd-to-end from Enframing to Disclosure | ||||||||
Ingestion - ParsingSystematic breakdown and analysis of input data | ||||||||
Ingestion - Intelligent ChunkingLLM-enabled segmentation for search optimization | ||||||||
Ingestion - Multi-modalHandles diverse data types simultaneously | ||||||||
Customizable, specialized vector storeTailored database optimized for vector embeddings | ||||||||
Integrated Knowledge GraphsInformation network showing contextual relationships | 1 | |||||||
Re-rankersRefined search result prioritization system | ||||||||
Accurate ScalabilityMaintains precision while handling increasing data volumes (50k+ pages) | ||||||||
Feature ExtractionIdentifies and isolates key data characteristics | ||||||||
Table Structuring and ExtractionOrganizes and retrieves tabular information effectively | ||||||||
RLHF enablementSupports human feedback for model improvement | ||||||||
Full pipeline structuring optimizationEnd-to-end process refinement for maximum efficiency across the stack | ||||||||
Code / No-CodeFlexible implementation across technical expertise | BOTH | CODE | BOTH | CODE2 | BOTH | BOTH | BOTH | CODE |
Model-AgnosticWorks with any AI framework or model | ||||||||
7 day a week supportWhite-Glove support - you will have the founder's phone number |
1 Only with Spanner Graph
2 Only for Prompting via Google AI Studio