Vector Search
AI & Retrieval
Embedding-based retrieval, self-hosted, with reranking over raw similarity.
Search by embedding proximity instead of keyword match, which finds documents that mean the same thing without sharing vocabulary.
How we use it
The retrieval half of the AI platform, always constrained by ordinary filters. Similarity decides ranking; the filter decides what was eligible in the first place.
8
systems
Case studies using this
Healthcare
Product-Safety Diagnostics for a Medical Group
An AI system that reads twenty thousand product records, extracts their ingredients, and tells a clinician whether a given product is safe for a given patient.
PythonFastAPIMicrosoft AzureRetrieval-Augmented Generation
Jan 2025 — Sep 2025Read more
Artificial Intelligence
ForkTex Intelligence, One API for AI Capability
A capability-first AI platform: consumers ask for extraction, retrieval or transcription and never name a provider, so the provider can change without a rewrite.
PythonFastAPIAnthropicOpenAI
Jan 2025 — OngoingRead more