From f2c1875d5adc603d57c25858d5fdf1d140c9053a Mon Sep 17 00:00:00 2001
From: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
Date: Mon, 27 Jan 2025 14:49:35 +0100
Subject: [PATCH] Update README.md
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README.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/README.md b/README.md
index c86defbc7..abf854b24 100644
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@@ -14,7 +14,7 @@ We build for developers who need a reliable, production-ready data layer for AI
Cognee implements scalable, modular ECL (Extract, Cognify, Load) pipelines that allow you to interconnect and retrieve past conversations, documents, and audio transcriptions while reducing hallucinations, developer effort, and cost.
-Cognee merges graph and vector databases to uncover hidden relationships and new patterns in your data. You can automatically model, load and retrieve entities and objects representing your business domain and analyze their relationships, uncovering insights that neither vector stores nor graph stores alone can provide. Learn more about use-cases (here).[https://docs.cognee.ai/use_cases]
+Cognee merges graph and vector databases to uncover hidden relationships and new patterns in your data. You can automatically model, load and retrieve entities and objects representing your business domain and analyze their relationships, uncovering insights that neither vector stores nor graph stores alone can provide. Learn more about use-cases [here](https://docs.cognee.ai/use_cases)
Try it in a Google Colab notebook or have a look at our documentation