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Code & technical docs

Connect GitHub to your AI — READMEs, docs and issues, queryable

Ragnight indexes your repositories — documentation, READMEs, issues — and makes them queryable by your assistants, citing the source file.

Technical knowledge is scattered across READMEs, repo wikis and issues. Ragnight turns it into a single memory: your AI answers technical questions by citing the code and docs.

Use case — Engineering teams

A concrete use case

A developer needs to use an internal service documented in a README. Instead of browsing repos, they ask the assistant, which answers by citing the exact file.

How do I set the environment variable for the payment service?
Set PAYMENT_API_KEY in the .env file; the key is generated from the internal dashboard.
GitHub · payment-service/README.md

How it works

01 1

Connect GitHub

Authenticate GitHub in a few clicks. Ragnight indexes your content continuously, read-only, no developer.

02 2

Plug in your AI

ChatGPT, Claude, Mistral or your agents query GitHub via the API or MCP connector — no copy-paste.

03 3

Cited, up-to-date answers

Every answer links back to its source in GitHub. Sync keeps the memory current automatically.

What it changes

Semantic search across GitHub

Ask in plain language; Ragnight finds the relevant passage inside GitHub.

Cited, trustworthy answers

Every answer cites the source GitHub document — verifiable, no hallucination.

No migration, read-only

Your content stays in GitHub. Ragnight indexes it where it lives and keeps in sync.

EU-hosted, GDPR

Your data is isolated per organisation, encrypted and hosted in Europe.

Frequently asked questions

Is source code sent to an LLM?

Ragnight indexes the content you choose for search; you control the scope, and everything is isolated and EU-hosted.

Are private repositories supported?

Yes, via OAuth authorisation; you select which repositories to connect.

Connect GitHub to your company's memory

Connect GitHub, run your first search — no credit card, in under 5 minutes.