> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cognee.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Docs for LLMs

> Machine-readable exports of these docs for agents, LLMs, and RAG pipelines.

Every page on this site is also published as plain markdown, so you can hand the documentation to an LLM or agent instead of scraping HTML.

## Available endpoints

| Endpoint                                                 | What it contains                                                                                                                 |
| -------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------- |
| [`/llms.txt`](https://docs.cognee.ai/llms.txt)           | Curated index: recommended entry points plus links to the shard pages below. Small enough to drop into a system prompt.          |
| [`/llms-full.txt`](https://docs.cognee.ai/llms-full.txt) | Full-site export — the complete text of every page in one file. Use this for RAG ingestion.                                      |
| Any page URL + `.md`                                     | A single page as markdown, for example [`/getting-started/quickstart.md`](https://docs.cognee.ai/getting-started/quickstart.md). |

If `llms-full.txt` is larger than the context you want to spend, use one of the per-surface shards instead. Each one lists the markdown URLs for a single area of the docs:

* [`/llms-core.md`](https://docs.cognee.ai/llms-core.md) — getting started, [core concepts](/core-concepts/overview), [setup](/setup-configuration/overview), guides, and examples
* [`/llms-cognee-cloud.md`](https://docs.cognee.ai/llms-cognee-cloud.md) — [Cognee Cloud](/cognee-cloud/overview)
* [`/llms-mcp.md`](https://docs.cognee.ai/llms-mcp.md) — [Cognee MCP](/cognee-mcp/mcp-overview) setup, tools, and client integrations
* [`/llms-integrations.md`](https://docs.cognee.ai/llms-integrations.md) — [third-party integrations](/integrations/index)
* [`/llms-api.md`](https://docs.cognee.ai/llms-api.md) — [REST](/api-reference/introduction) and [Python](/python-api/index) API references

## Copy a single page

Every page has a contextual menu next to its title with **Copy page**, **View as Markdown**, and shortcuts to open the page directly in ChatGPT, Claude, or Perplexity. Use it when you only need one page in an existing chat.

## Fetch from an agent

Any of these endpoints is a plain HTTP GET, so a tool-using agent can pull them on demand:

```bash theme={null}
curl https://docs.cognee.ai/llms.txt
curl https://docs.cognee.ai/getting-started/quickstart.md
```

## Ingest the docs into Cognee

You can also give the docs to Cognee itself and query them with [`recall`](/core-concepts/main-operations/recall):

```python theme={null}
import asyncio
import httpx
import cognee

async def main():
    docs = httpx.get("https://docs.cognee.ai/llms-full.txt", timeout=60).text
    await cognee.remember(docs, dataset_name="cognee_docs")

    results = await cognee.recall(query_text="How do I configure a local LLM provider?")
    for result in results:
        print(result.text)

if __name__ == "__main__":
    asyncio.run(main())
```

<Note>
  For a setup-focused assistant you usually want the [LLM Quickstart Skill](/getting-started/llm-quickstart-skill) rather than the full docs export — it is a compact, curated set of instructions for installing and configuring Cognee.
</Note>