Ground answers in your own material, compare models carefully, and maintain long-running context across projects without losing control over the workflow.
Researchers need grounded outputs, source-aware workflows, and persistent context. NovaKit is designed to reduce re-uploading, repeated briefing, and vendor lock-in.
Common pain points
Desired outcomes
Recommended features
Knowledge Base
Upload PDFs and files, chunk and embed them locally, and let NovaKit retrieve the right context when you need grounded answers.
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Memory
NovaKit Memory stores useful facts, preferences, and decisions across conversations so you spend less time repeating context.
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Prompts & Personas
Build a reusable prompt library with variables and personas so your best instructions do not disappear into old chats.
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Files, Vision & Voice
NovaKit supports multimodal AI workflows with attachments, image understanding, voice input, and inline image generation using your own keys.
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Learn more
Stop re-uploading the same files into ChatGPT. A personal AI knowledge base lets you chat with every document you own — PDFs, Markdown notes, Notion exports, Kindle highlights — privately and locally. Here's exactly how to build one.
A 2026 researcher's guide to using AI for literature review, paper summarization, and citation handling. Elicit, Consensus, NotebookLM, Claude — the honest workflow.
Hallucinations are the #1 reason AI ships broken. A practitioner's guide to grounding, RAG, citations, structured output, eval, and the temperature settings that actually matter.
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NovaKit combines local-first control, model flexibility, and workflow depth for people who use AI seriously every week.