Kelu vs Inkeep
Both platforms deliver embeddable AI chat and search for developer documentation. This comparison covers retrieval architecture, GitHub indexing, Slack and Discord bots, versioned docs support, and pricing model — based on publicly available information.
Feature comparison
Information about Inkeep is based on their public website and documentation.
Where Kelu focuses differently
Hybrid search with intelligent query rewriting
Kelu runs LLM query rewrite and expansion before hitting the retrieval layer. This means a user asking 'how do I auth' will retrieve the same chunks as 'authentication SDK setup guide'. Combined with RRF fusion and cross-encoder re-ranking, the top-K results are more relevant with less prompt engineering.
Git-push incremental sync for repos
Kelu installs a lightweight webhook in your GitHub repository. Every push to the configured branch triggers an incremental re-index of changed files only — no full re-crawls, no manual triggers. Your chatbot always answers from the current state of your codebase.
Versioned docs and per-collection access control
Serve v1, v2, and latest independently. Collections let you issue separate client keys for each version or audience segment, so users querying your legacy docs never receive answers from your current-version content. Useful for multi-product teams and long-tail version support.
Full public pricing with a free tier
Kelu publishes all plan limits and prices openly. The free plan includes 1 knowledge base and 100 AI questions per month — enough to evaluate the platform end-to-end without a sales conversation.
Frequently asked questions
How is Kelu different from Inkeep?
Both platforms turn documentation into citation-backed AI answers. Kelu differentiates on retrieval (hybrid pgvector + full-text with RRF fusion, LLM query rewriting, and re-ranking), ungated API/SDK access on every plan, collections with per-key permissions, versioned docs, and public pricing with a free tier.
Can I migrate from Inkeep to Kelu?
Yes. Kelu indexes the same kinds of sources — docs sites, GitHub repos, Notion, Confluence, and resolved helpdesk tickets — so migration is usually just reconnecting your sources and swapping the widget embed or SDK calls. Most teams are running in under an hour.
Does Kelu support the same integrations?
Kelu ships a web widget, React component, JavaScript/Node SDK, Slack and Discord bots, an open REST API with WebSocket streaming, an MCP server per knowledge base, and helpdesk integrations for ticket deflection and copilot drafts.
Do answers include citations?
Yes. Every answer links to the exact source passages it was grounded in, and automated LLM-as-judge evals continuously score groundedness and citation quality.
Is my data used to train AI models?
No. Your connected content and your users' conversations are never used to train models. Content is indexed solely to answer questions for your knowledge base, and PII masking and retention controls are built in.
How much does Kelu cost?
Pricing is public — there is a free plan with no credit card required, and paid plans scale with usage rather than per-seat fees. See the pricing page for current details.
Is this comparison up to date?
The Inkeep column is based on publicly available information from their website and documentation. If you spot something outdated, contact us and we'll correct it.
See for yourself
Connect your docs and get your first AI-powered answer in under 5 minutes. No credit card required.