BeforeQuery 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 BeforeQuery focuses differently
Hybrid search with intelligent query rewriting
BeforeQuery 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
BeforeQuery installs a lightweight webhook in your GitHub or GitLab 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
BeforeQuery publishes all plan limits and prices openly. The free plan includes 1 project, 500 indexed pages, and 100 AI questions per month — enough to evaluate the platform end-to-end without a sales conversation.
See for yourself
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