Kit for AI vs Guru
Guru is a company wiki with an AI answer layer. If you want an all-in-one, private and cheaper knowledge management / wiki that also converts documents, remembers, recalls and searches the web, Kit for AI is the better fit.
What Guru does well
Guru is a well-loved knowledge-management wiki that recently added AI answers over your verified cards.
Why teams choose Kit for AI
- Kit for AI is API-first: your agents and apps query the knowledge base directly, with cited answers from your own documents.
- Ingest PDFs/Office/URLs/OCR automatically instead of hand-authoring cards.
- Private local AI and developer pricing, not per-seat wiki licensing.
How Kit for AI is built
The difference isn't just scope — it's technique. Here's what drives more accurate, cheaper, more private answers.
Hybrid retrieval, not vector-only
Most memory and RAG tools rank passages by vector similarity alone, which misses exact terms and names. Kit for AI fuses dense vector search with keyword search using Reciprocal Rank Fusion, then reranks the shortlist with a cross-encoder — so the passage that actually answers the question lands first. Higher precision means fewer chunks in the prompt, and fewer tokens billed.
Grounded answers that cite — or decline
Every answer is generated only from your retrieved passages and cites the exact source. When your documents don't cover a question, the model says so instead of inventing an answer. No confident hallucinations, no untraceable claims.
Token-efficient ingestion
Sources aren't dumped in raw. PDFs, Office files, HTML, URLs and scanned images run through a conversion ladder — including vision-model OCR — into clean, structured Markdown. Clean input cuts token counts sharply versus raw extraction, and gives the model less noise to reason over.
Private by default
Answers run on our own models, so your documents and memories aren't sent to a third-party LLM. You get the retrieval quality without handing your corpus to OpenAI or Anthropic.
One surface, zero retrieval infra
Convert, knowledge bases, memory (remember/recall), web search and skills are one REST API, one MCP server, and a typed SDK. No vector database to run, no embedding pipeline to maintain, no chunking strategy to tune — it's managed end to end.
Feature comparison
| Feature | Kit for AI | Guru |
|---|---|---|
| Retrieval technique | Hybrid (vector + keyword) fused with RRF, then cross-encoder reranking | Vector similarity |
| Grounded, cited answers | Cites every source; declines when your docs don't cover it | Verified cards |
| Document → clean Markdown / JSON | PDF, Office, HTML, URLs, images/OCR — token-efficient | Manual cards |
| AI OCR for scans & images | Vision-model OCR → structured Markdown | Not included |
| Retrieval infrastructure to run | None — no vector DB, embeddings or chunking to manage | Managed wiki |
| Local / private AI (no third-party LLM) | Runs on our own models | Hosted |
| Developer surface | REST API + MCP server + typed SDK | Limited |
| Agent memory (remember / recall) | Built-in, deduplicated, semantic | Not offered |
| All-in-one (convert → KB → memory → skills → search) | One platform, one API | Wiki + AI |
| Starting price | Free tier · Pro $9/mo | Per-seat |
Pricing
Guru is per-seat wiki pricing. Kit for AI is $9/mo for the API + all features.
FAQ
- Is Kit for AI a Guru alternative for AI answers?
- Yes, with a different shape: instead of hand-authoring verified cards, you ingest PDFs, Office files, URLs and scans automatically, and your agents query the knowledge base over an API and MCP with cited answers.
- Do I have to write cards by hand?
- No. Drop in documents or paste URLs and Kit for AI converts them to clean Markdown and indexes them — the knowledge base builds itself from your existing content.
- How is it priced vs Guru?
- Guru is per-seat wiki licensing. Kit for AI is a $9/mo developer plan that includes the API, conversion, knowledge bases, memory and search.
Switch to the all-in-one AI toolkit
Convert, build a knowledge base, remember, recall, run skills and search — one API, private models, from free.