Turn static files into interactive knowledge.
Upload custom PDFs, stream generative AI chat evaluations from isolated data sets, and experience unified token vector ingestion in real time.
Immediate Processing Pipeline
Drop a PDF,CSV or Text report, generate dense token vectors , and query the dataset.
Core Application Features
A functional technical playground highlighting state-of-the-art vector processing frameworks.
Google OAuth Flow
Secure client-side context handling via custom Client `AuthProvider`. Access tokens attach automatically to state requests.
Streaming Answers
Server responses resolve tokens organically over live HTTP pipes, ensuring users view real-time chat completion matrices.
Smart Sandbox Cleanup
Destructive sign-outs strip personal vectors from local servers while caching base fallback reference files like RAG_Test_Document.pdf.
Vector Embeddings
Breaks uploaded string contexts into vectorized math weights to execute high-fidelity conceptual text searches.
Source Attribution
Every response highlights exact contextual blocks matched within your source data file to completely eliminate structural hallucinations.
Temporary Cache
Maintains an isolated operational state. Documents auto-purge following active session closure or browser reset steps.
The Complete Pipeline Architecture
Archivist bridges client-side presentation elements directly into an decoupled NestJS server architecture via protected REST endpoint frameworks.
Supabase JWT instances are parsed synchronously during system requests to evaluate permissions and shield critical data stores.