The deepest query substrates.

• Based on relational algebra and modifications to leading analytical and vector databases, offering people and agents fully recursive, conjunctive queries.
• Specialized hardware, in progress.
• Adaptive indexes and crawls to ensure agents have the fastest access to the most prioritized information.
• Deep focus on legible corpus gaps.
• Differentiated public social media crawls.
• Cross-corpus author linking.
• Leading the way with applied lexical search recipes and precomputed lexical facets.
• Algebraic embedding vector composition.
• Custom rerankers, including harnessing model logprobs, O(n) sorting via eliciting cardinal latents, and systems for eliciting and communicating the priors of large models, and posttraining the smallest models that reliably grok the most meaningful attributes.

218.9B+ records · 10.5B+ embeddings · 50+ sources

With vast attention paid to consistency and cost.

Systems for private computation.

Ideonomy and compositional inference time affordances.