mari-components · 0.1.0.dev0

Mari documentation

Choose a system boundary

Area	What it covers
Ingest	Documents, polling/streaming connectors, synchronization, parsers, sections, tags
Retrieve	Lexical, dense, multi-vector, approximate, contradiction, graph, and adaptive retrieval
Govern	Evidence, contradiction validation, freshness, workflow reuse, verification, errors
Memory	Admission, mutation, segmentation, salience, organization, consolidation
Graphs	Resolution, temporal facts, propagation, communities, projections
Agents	Trajectories, procedure mining, regression gates, reviewed reuse
Platform	Artifact lineage, stores, pipelines, evaluation runs, configuration compilation

Mari is a framework-neutral Python library for building knowledge systems from changing source material. It supplies immutable domain types, connector contracts, synchronization planning, multi-vector, graph, and contradiction retrieval, document self-contradiction validation, rank fusion, memory update plans, topic segmentation, evidence validation, freshness tracking, workflow reuse, trajectory analysis, and verification utilities.

Current — importable from mari_components

How to use these docs

Each feature page describes importable code in mari_components. Research-derived mechanisms link evidence next to the explanation; application-injected model calls, persistence boundaries, and failure behavior are identified explicitly.

Package namingmari-components is the distribution. Public imports use mari_components.