AnythingLLM
Retrieval-augmented chat workspace bundling document ingestion, embedding, vector storage and multi-provider model connectivity into one container. Answers cite the source passages they were drawn from.
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Research Lab
Academic and research environment designed for experimental AI research, paper reproduction, and collaborative scientific work. Provides comprehensive tools for data analysis, experiment tracking, model development, and research collaboration. This platter addresses the specific needs of academic researchers, graduate students, and R&D teams who need sophisticated AI infrastructure for experimental work and reproducible research.
Difficulty • advanced
Composition
- Required services14
- Optional services0
- Visibility
Core Services
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Qdrant
Vector database written in Rust, pairing dense and sparse vectors with structured payloads so that metadata filters and nearest-neighbour search are resolved together in a single query.
LiteLLM
Gateway fronting more than 100 model providers behind a single OpenAI-compatible API, adding routing rules, fallback chains, retries, per-key spend limits and request logging.
code-server
VS Code running as a server and reached through a browser, so editing, terminals, debugging and extensions happen on the remote machine while only the interface is local.
JupyterLab
Browser-based development environment presenting notebooks, code editors, terminals and data files in one tabbed workspace. This image variant ships a Python data-science stack preinstalled.
Docusaurus
Documentation site generator built on React and MDX, with versioned docs, i18n, automatic sidebars and search, producing a static site that can embed interactive components.
JupyterLab
Browser-based development environment presenting notebooks, code editors, terminals and data files in one tabbed workspace. This image variant ships a Python data-science stack preinstalled.
MLflow
Platform for tracking machine-learning experiments, logging parameters, metrics and artifacts per run, with a model registry holding versions, stage transitions and lineage back to the producing run.
Prometheus
Time-series database and monitoring server that scrapes metrics endpoints on a schedule, stores samples locally, and evaluates PromQL queries, recording rules and alert conditions against them.
Grafana
Dashboard and visualisation server that queries time-series, log and SQL data sources directly and renders panels, with alert rules, notification routing and dashboards defined as JSON.
inari.cadvisor
MLflow
Platform for tracking machine-learning experiments, logging parameters, metrics and artifacts per run, with a model registry holding versions, stage transitions and lineage back to the producing run.