Update README.md

README.md

@@ -82,7 +82,7 @@ The value includes the `title` and the textual content chunk `text`.
 This strategy is designed to improve semantic search for document search use cases on administrative procedures.
 
 The Langchain's `RecursiveCharacterTextSplitter` function was used to make these chunks (`text` value). The parameters used are : 
-- `chunk_size` = 1500 (in order to maximize the compability of most LLMs context windows)
+- `chunk_size` = 1500
 - `chunk_overlap` = 200
 - `length_function` = len
 
@@ -92,7 +92,7 @@ Each `chunk_text` was embedded using the [**`BAAI/bge-m3`**](https://huggingface
 
 ## 🔄 The chunking doesn't fit your use case?
 
-[**SOON AVAILABLE FOR THIS DATASET**] ~~If you need to reconstitute the original, un-chunked dataset, you can follow [this tutorial notebook available on our GitHub repository](https://github.com/etalab-ia/mediatech/blob/main/docs/reconstruct_vector_database.ipynb).~~
+If you need to reconstitute the original, un-chunked dataset, you can follow [this tutorial notebook available on our GitHub repository](https://github.com/etalab-ia/mediatech/blob/main/docs/reconstruct_vector_database.ipynb).
 
 ⚠️ The tutorial is only relevant for datasets that were chunked **without overlap**.