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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.