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.
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.
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.
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.
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.
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.
Container resource monitor that discovers running containers automatically and exports per-container CPU, memory, filesystem and network statistics in Prometheus format and a built-in live view.
Object storage server with an S3-compatible API for on-premises and edge deployments, providing erasure coding, object versioning, write-once retention locks and bucket replication.
Web server and reverse proxy that obtains and renews TLS certificates automatically, supports HTTP/3, and is configured either by a short text file or entirely over an API.
Balanced platform designed for professionals who need AI-powered knowledge management without enterprise complexity. Combines document analysis capabilities with chat interfaces and basic monitoring to create a productive AI workspace. This platter addresses the needs of consultants, researchers, and knowledge professionals who want to leverage AI for document processing, question answering, and content creation while maintaining reasonable resource requirements and setup complexity.