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LangChain Python docs to RAG chunks & Markdown

Unofficial export of the LangChain Python documentation (docs.langchain.com/oss/python) to heading-aware RAG chunks with token estimates and clean Markdown per page, ready for your own vector index. Chunks are also embedded in each dataset item. Up to 250 pages per run, robots.txt obeyed (its content signals allow AI input), pay per page. Not affiliated with or endorsed by LangChain.

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llms.txt Generator + Docs to Markdown & RAG Chunks
llms.txt Generator + Docs to Markdown & RAG Chunkslathesmith/docs-to-llms-markdown
URL
Title
Words
Tokens (est.)
+3 fields
Text
Number
Boolean
List
Object

Input

Start URLs(required)
url:https://docs.langchain.com/oss/python/langchain/overview
Path prefix:/oss/python
Max pages:250
Max tokens per chunk:512
Embed chunks in dataset items:true

Output fields

URL
Title
Words
Tokens (est.)
Chunks
Last modified
Heading path

How it works

Sign up on Apify or log in

The llms.txt Generator + Docs to Markdown & RAG Chunks Actor is ready to run with the inputs already set for "LangChain Python docs to RAG chunks & Markdown". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "LangChain Python docs to RAG chunks & Markdown" task

The llms.txt Generator + Docs to Markdown & RAG Chunks Actor will start running based on the input automatically. You can also change all the input fields, like start urls, path prefix, and more, to match your specific use case.

Receive the "LangChain Python docs to RAG chunks & Markdown" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as URL, title, words, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "LangChain Python docs to RAG chunks & Markdown" task via API.

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