Dashboard and ingestion
Upload operational documents, inspect data status, and keep the retrieval corpus visible.
Actian VectorAI DB at the core
Local-first AI for field operations.
FieldOps Local AI ingests manuals, SOPs, incident notes, and field images into Actian VectorAI DB, then turns that operational knowledge into semantic search, grounded Q&A, similar-case retrieval, and incident triage checklists.
SearchSemantic retrieval over manuals, notes, incidents, and images.
Grounded answersEvidence-first responses with citations and uncertainty handling.
TriageProbable causes, recommended checks, and step-by-step response flows.
Local-firstDesigned to run locally with optional remote LLM synthesis.
01 IngestUpload PDFs, Markdown, incident notes, and field images.
02 IndexChunk, embed, and store operational knowledge in Actian VectorAI DB.
03 RetrieveRun semantic and hybrid retrieval with metadata filters.
04 RespondGenerate grounded answers, similar-case evidence, and triage checklists.
Why it matters
Field teams lose time when critical knowledge is buried inside PDFs, binder SOPs, handover notes, and screenshots. FieldOps Local AI turns that fragmented knowledge into a retrieval-first operations copilot for technicians, manufacturing teams, and field operators who need answers fast, with or without reliable connectivity.
Product walkthrough
Search and grounded Q&A
Run semantic retrieval, inspect source chunks, and answer only from retrieved evidence.
Incident triage
Compare similar historical incidents and generate practical troubleshooting checklists.
Architecture highlights
VectorAI DBPrimary retrieval/index layer for chunk vectors and metadata-driven search.
FastAPI appLocal web UI and API for ingestion, retrieval, and triage workflows.
Multimodal ingestText, PDF, notes, and images normalized into grounded searchable chunks.
Optional LLMNVIDIA NIM used only after retrieval for grounded synthesis over evidence.