Update README.md

README.md

@@ -1,3 +1,37 @@
----
-license: cc-by-nc-sa-4.0
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+---
+license: cc-by-nc-sa-4.0
+---
+
+This dataset contains the embeddings for the segmented [TREC RAG 2024 corpus](https://trec-rag.github.io/annoucements/2024-corpus-finalization/), embedded with the Cohere Embed V3 model.
+
+You can search on this dataset with just 500MB of memory using [DiskVectorIndex](https://github.com/cohere-ai/DiskVectorIndex).
+
+# Installation & Usage
+
+Get your free **Cohere API key** from [cohere.com](https://cohere.com). You must set this API key as an environment variable: 
+```
+export COHERE_API_KEY=your_api_key
+```
+
+Install the package:
+```
+pip install DiskVectorIndex
+```
+
+You can then search via:
+```python
+from DiskVectorIndex import DiskVectorIndex
+
+index = DiskVectorIndex("Cohere/trec-rag-2024-index")
+
+while True:
+    query = input("\n\nEnter a question: ")
+    docs = index.search(query, top_k=3)
+    for doc in docs:
+        print(doc)
+        print("=========")
+```
+
+# License
+
+Please observe the License for the [TREC RAG 2024 Corpus](https://trec-rag.github.io/annoucements/2024-corpus-finalization/). The license displayed here is just for the embeddings.