Your knowledge base, retrieval-ready in minutes
Upload docs. Organize with segments & tags. Call retrieve() from your code. Ship smarter AI products without managing vector infrastructure.
npm install @kbforge/sdk import { KBForge } from '@kbforge/sdk'; const kbf = new KBForge({ apiKey: process.env.KBF_KEY }); const ctx = await kbf.retrieve("How do I scale?"); // Inject context into your LLM prompt const response = await ai.generate({ prompt, ctx });
Engineered for simplicity
From raw data to semantic search in three steps.
1. Upload
Sync documents from Notion, GitHub, or direct API uploads. We handle parsing and chunking automatically.
2. Organize
Cluster data with tags and segments. Refine embeddings manually or use our smart auto-tagging engine.
3. Retrieve
Query your knowledge base with natural language. Get back relevant context for your AI models in milliseconds.
Precision tools for high-scale RAG.
Everything you need to build, monitor, and scale production-grade AI knowledge bases.
SDK-first retrieval
Lightweight SDKs for Node, Python, and Go. Native support for Edge functions.
Granular chunk editing
Manually override embeddings or edit text chunks directly in the dashboard UI.
Smart auto-tagging
AI-powered metadata generation to enhance filtering and retrieval accuracy.
Multimodal embeddings
Search across text, images, and tables using state-of-the-art vector models.
Source connectors
One-click sync with Notion, Google Drive, GitHub, and Slack.
Real-time analytics
Track latency, recall rates, and semantic drift with built-in observability.
Built for teams
Manage 10,000+ documents with ease.
Auth_Service_Protocol.pdf
Last updated 2h ago • 45 chunks
API_Rate_Limiting_V2.md
Last updated 5h ago • 12 chunks
Drop your files here to start indexing
Transparent, usage-based pricing
Scale from prototype to production without surprising bills.
Starter
- check_circle1 knowledge base
- check_circle100 documents
- check_circle1,000 retrievals/month
- check_circleCommunity support
Pro
- check_circle10 knowledge bases
- check_circle5,000 documents
- check_circle50,000 retrievals/month
- check_circleNotion & GitHub sync
- check_circleAuto-tagging & analytics
- check_circle3 team members
Enterprise
- check_circleUnlimited knowledge bases
- check_circle50,000 documents
- check_circle500,000 retrievals/month
- check_circleAll connectors + webhooks
- check_circleSSO & RBAC
- check_circle24/7 dedicated support
“KBForge slashed our RAG implementation time by 80%. We stopped worrying about vector databases and started focusing on our user experience.”
Alex Rivera
CTO at NovaAI