AI & RAG
Developer-portal answer endpoint grounded in ReadMe docs with exact citations
Answers developer questions over a webhook by retrieving the most relevant ReadMe doc sections, generating a grounded reply.
How it runs
The automated pipeline, trigger to output.
- TriggerPortal question received at webhookHTTP webhook
- ActionRetrieve top ReadMe doc chunks by vector similarityPostgres
- LogicBranch on retrieval confidence threshold
- ActionGenerate grounded answer from retrieved contextOpenAI
- OutputReturn answer with exact cited section URLsHTTP webhook
What it does
Exposes an HTTP endpoint your developer portal calls when a user asks a question. It retrieves the closest-matching ReadMe documentation sections, generates an answer strictly grounded in that retrieved text, and returns the reply alongside the exact section anchors it used as citations.
When to use it
When you want an "Ask the docs" box on your developer portal that gives accurate, source-linked answers instead of hallucinated ones. Ideal for teams whose API reference and guides already live in ReadMe.
How it works
- 1A portal question arrives at the webhook with the user's query text.
- 2The query is embedded and matched against pre-indexed ReadMe doc chunks stored in Postgres via vector similarity.
- 3The top sections are passed to the model with a grounding instruction: answer only from supplied context, cite section slugs.
- 4A logic step checks whether retrieval confidence cleared the threshold; if not, it returns a "not covered" response instead of guessing.
- 5The endpoint returns the grounded answer plus the exact ReadMe section URLs that backed each claim.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect ReadMeAPI docs, changelog, auth.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect PostgresAny Postgres URL — query, write, migrate.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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