The problem
Chats forget what your documents already know.
Without retrieval, you keep re-uploading files, re-explaining context, and hoping the model remembers enough to stay accurate.
Document intelligence
Turn your documents into reusable AI context.
Upload PDFs and files, chunk and embed them locally, and let NovaKit retrieve the right context when you need grounded answers.
A good AI workspace should remember more than the current chat. NovaKit Knowledge Base lets you build a private document layer that improves answer quality across tasks.
The NovaKit approach
Give your workspace a searchable source layer.
NovaKit lets you upload and organize documents, generate embeddings with your own key, and retrieve relevant context for more grounded responses.
Why it matters
Benefits of Knowledge Base
- Keep reference material available across conversations.
- Ground outputs in your own PDFs, notes, and source documents.
- Reduce hallucinations by retrieving relevant context before answering.
- Maintain a private, local-first document workflow.
What you can do
Key capabilities
- Upload PDFs and documents into organized collections.
- Automatic chunking and embedding preparation.
- Search and retrieval for context-aware responses.
- Local vector storage with your own OpenAI embedding key.
Product preview
What Knowledge Base looks like in NovaKit
Upload PDFs and files, chunk and embed them locally, and let NovaKit retrieve the right context when you need grounded answers. These previews show how the feature fits into a real workflow rather than living as a one-off capability.
Panel 01
Knowledge Base
Upload PDFs and files, chunk and embed them locally, and let NovaKit retrieve the right context when you need grounded answers.
Upload PDFs and documents into organized collections.
Document intelligenceNovaKitActive workflow
Panel 02
Workflow example
Build a company handbook assistant from internal docs.
Automatic chunking and embedding preparation.
Use caseExecutionContext
Panel 03
Why people upgrade
Ground outputs in your own PDFs, notes, and source documents.
Keep reference material available across conversations.
Upgrade pathROIOwnership
Common use cases
Where Knowledge Base fits best
01
Build a company handbook assistant from internal docs.
02
Chat with research papers, briefs, transcripts, and reference material.
03
Use project files as context while drafting plans or technical documentation.
Best fit
Who Knowledge Base is for
Researchers working from source material
Useful when answers need to stay grounded in papers, briefs, transcripts, or documentation.
Founders and operators with internal docs
Ideal for building a private document layer around process docs, notes, and project context.
Anyone tired of re-uploading PDFs
Best for people who want document context to persist across chats instead of starting over every time.
Why it stands out
NovaKit Knowledge Base vs typical alternatives
Comparison
NovaKit
Typical alternative
Document grounding
Answers can pull from your stored sources.
Basic chat tools rely only on current context windows.
Reuse
Uploaded knowledge stays available across sessions.
Users often re-upload the same files repeatedly.
Ownership
Embeddings and vectors stay local to the workspace.
Many hosted tools centralize document context on vendor systems.
Frequently asked questions
Knowledge Base FAQ
Where are my embeddings stored?
NovaKit stores vectors locally in your workspace. Document text is sent once for embedding generation using your own API key, then reused from local storage.
Is this only for PDFs?
No. PDFs are supported, but NovaKit is designed for broader document-powered workflows across multiple file types.
Also compare
See how NovaKit stacks up against hosted alternatives
NovaKit vs ChatGPT
Best if you're deciding between hosted OpenAI convenience and a BYOK multi-model workspace.
Read comparison →
NovaKit vs Claude
Best if Anthropic is one of several models in your workflow instead of your whole stack.
Read comparison →
NovaKit vs ChatGPT Teams
Best if you're evaluating hosted vendor custody against local-first ownership and control.
Read comparison →
Learn more
Related guides and comparisons
guidesMar 13, 202611 min read
How to Build an AI Knowledge Base from Your PDFs, Notes, and Docs (2026 Guide)
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.
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How to Chat With PDFs Using AI: A Practical 2026 Guide
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I Rebuilt My RAG System Three Times. Here's What I Wish I'd Known.
A first-person account of building, breaking, and rebuilding the same RAG system three times in 18 months. The lessons that only show up after you've shipped it twice and regretted it.
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Ready to try it?
Build your AI workflow on your terms.
NovaKit combines model choice, cost visibility, privacy-first architecture, and local-first ownership in one workspace.
Free
Explore the workspace and core flow before committing.
Starter
Best for individual power users who want the essential NovaKit workflow.
Pro
Best for advanced workflows with the full feature set and future upgrades included.