Upload PDFs, Word docs, or text files. RAGForge chunks, embeds, and indexes everything — then lets you query it all with Gemini. No backend needed.
State-of-the-art vector embeddings via Gemini. Documents become semantically searchable in seconds.
Recursive character splitter with configurable size and overlap. Context preserved across chunk boundaries.
Responses stream token-by-token from Gemini Flash or Pro. See answers form in real time, no waiting.
Every answer cites exactly which document chunks it came from. Full transparency, no hallucination hiding.
Drop PDFs, Word docs, or plain text. Parser handles everything server-side — just drag and drop.
Override the system prompt to control tone, persona, and format. Your pipeline behaves exactly as you define.
| DIY Setup | RAGForge | |
|---|---|---|
| Vector DB setup | Hours | Built-in |
| Document parsing | Write your own | Drag & drop |
| Embedding pipeline | Custom code | Automatic |
| Auth & multi-user | Integrate yourself | Clerk included |
| Chat with sources | Build from scratch | Ready to use |
| Time to first query | Days | Minutes |
Bring your Gemini API key and start chatting with your documents in minutes. No backend, no infrastructure, no waiting.
Get Started — Free