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.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
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.gitignore

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+.DS_Store

README.md

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+---
+license: other
+license_link: https://github.com/mdn/content/blob/main/LICENSE.md
+language:
+  - en
+tags:
+  - rag
+  - embeddings
+  - lancedb
+---
+
+Pre‑ingested [LanceDB](https://lancedb.com/) of 50k+ rows from [MDN Web Docs](https://developer.mozilla.org/).
+
+> [!NOTE]
+> Main intention is to use it with the [companion RAG-MCP server](https://github.com/deepsweet/mdn) ready for semantic search with hybrid vector (1024-d) and full‑text (BM25) retrieval. Other use cases are welcome as long as it complies with the [license](#license).
+
+## Content
+
+The dataset covers the core MDN documentation sections, including:
+
+- Web API
+- JavaScript
+- HTML
+- CSS
+- SVG
+- HTTP
+
+The [source content](https://github.com/mdn/content), originally in a fairly custom markdown format, is thoroughly processed into plain yet still structured text and then semantically split into meaningful standalone chunks without a hard token limit or overlap.There may still be some minor nuances and room for improvement in the chunked text. Please let me know if you spot any quirks.
+
+The embedding model used for data ingestion is [BGE-M3](https://huggingface.co/BAAI/bge-m3) (1024 dimensions, 8192 tokens), specifically the quantized [Q4_K_M GGUF](https://huggingface.co/deepsweet/bge-m3-GGUF-Q4_K_M) version. Looking forward to trying [pplx-embed-context-v1](https://research.perplexity.ai/articles/pplx-embed-state-of-the-art-embedding-models-for-web-scale-retrieval) once it's [added](https://github.com/ggml-org/llama.cpp/issues/20055) to llama.cpp.
+
+> [!WARNING]
+> It is strongly recommended to use exactly the same model for correct similarity during query embedding.
+
+## Usage
+
+See [development repo](https://github.com/deepsweet/mdn) on GitHub for more details.
+
+## License
+
+This dataset is definitely a "derivative work" based upon the original MDN Web Docs content which [license](https://github.com/mdn/content/blob/main/LICENSE.md) is quite complex:
+
+- "Prose" content is available under CC-BY-SA-2.5.
+- Code examples and snippets added on or after August 20, 2010 are in the public domain (CC0).
+- Code examples and snippets added before August 20, 2010 are available under MIT.
+
+All code examples are never explicitly modified during the chunking step, and therefore are provided as is.
+
+This dataset as a whole is provided under the same terms. No new copyright is asserted.

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