Harrison/zep mem (#6388)

Co-authored-by: Daniel Chalef <131175+danielchalef@users.noreply.github.com>

docs/extras/modules/data_connection/retrievers/integrations/zep_memorystore.ipynb

@@ -5,24 +5,24 @@
    "metadata": {},
    "source": [
     "# Zep\n",
+    "## Retriever Example for [Zep](https://docs.getzep.com/) - A long-term memory store for LLM applications.\n",
     "\n",
-    ">[Zep](https://docs.getzep.com/) - A long-term memory store for LLM applications.\n",
+    "### More on Zep:\n",
     "\n",
-    "More on `Zep`:\n",
-    "\n",
-    "`Zep` stores, summarizes, embeds, indexes, and enriches conversational AI chat histories, and exposes them via simple, low-latency APIs.\n",
+    "Zep stores, summarizes, embeds, indexes, and enriches conversational AI chat histories, and exposes them via simple, low-latency APIs.\n",
     "\n",
     "Key Features:\n",
     "\n",
-    "- Long-term memory persistence, with access to historical messages irrespective of your summarization strategy.\n",
-    "- Auto-summarization of memory messages based on a configurable message window. A series of summaries are stored, providing flexibility for future summarization strategies.\n",
-    "- Vector search over memories, with messages automatically embedded on creation.\n",
-    "- Auto-token counting of memories and summaries, allowing finer-grained control over prompt assembly.\n",
+    "- **Fast!** Zep’s async extractors operate independently of the your chat loop, ensuring a snappy user experience.\n",
+    "- **Long-term memory persistence**, with access to historical messages irrespective of your summarization strategy.\n",
+    "- **Auto-summarization** of memory messages based on a configurable message window. A series of summaries are stored, providing flexibility for future summarization strategies.\n",
+    "- **Hybrid search** over memories and metadata, with messages automatically embedded on creation.\n",
+    "- **Entity Extractor** that automatically extracts named entities from messages and stores them in the message metadata.\n",
+    "- **Auto-token counting** of memories and summaries, allowing finer-grained control over prompt assembly.\n",
     "- Python and JavaScript SDKs.\n",
     "\n",
-    "Zep's Go Extractor model is easily extensible, with a simple, clean interface available to build new enrichment functionality, such as summarizers, entity extractors, embedders, and more.\n",
-    "\n",
-    "`Zep` project: [https://github.com/getzep/zep](https://github.com/getzep/zep)\n"
+    "Zep project: [https://github.com/getzep/zep](https://github.com/getzep/zep)\n",
+    "Docs: [https://docs.getzep.com/](https://docs.getzep.com/)\n"
    ]
   },
   {

docs/extras/modules/memory/integrations/zep_memory.ipynb

@@ -7,9 +7,9 @@
    "source": [
     "# Zep Memory\n",
     "\n",
-    "## REACT Agent Chat Message History Example\n",
+    "## REACT Agent Chat Message History with Zep - A long-term memory store for LLM applications.\n",
     "\n",
-    "This notebook demonstrates how to use the [Zep Long-term Memory Store](https://getzep.github.io/) as memory for your chatbot.\n",
+    "This notebook demonstrates how to use the [Zep Long-term Memory Store](https://docs.getzep.com/) as memory for your chatbot.\n",
     "\n",
     "We'll demonstrate:\n",
     "\n",
@@ -18,20 +18,22 @@
     "3. Viewing the enriched messages.\n",
     "4. Vector search over the conversation history.\n",
     "\n",
-    "More on Zep:\n",
+    "### More on Zep:\n",
     "\n",
     "Zep stores, summarizes, embeds, indexes, and enriches conversational AI chat histories, and exposes them via simple, low-latency APIs.\n",
     "\n",
     "Key Features:\n",
     "\n",
-    "- Long-term memory persistence, with access to historical messages irrespective of your summarization strategy.\n",
-    "- Auto-summarization of memory messages based on a configurable message window. A series of summaries are stored, providing flexibility for future summarization strategies.\n",
-    "- Vector search over memories, with messages automatically embedded on creation.\n",
-    "- Auto-token counting of memories and summaries, allowing finer-grained control over prompt assembly.\n",
+    "- **Fast!** Zep’s async extractors operate independently of the your chat loop, ensuring a snappy user experience.\n",
+    "- **Long-term memory persistence**, with access to historical messages irrespective of your summarization strategy.\n",
+    "- **Auto-summarization** of memory messages based on a configurable message window. A series of summaries are stored, providing flexibility for future summarization strategies.\n",
+    "- **Hybrid search** over memories and metadata, with messages automatically embedded on creation.\n",
+    "- **Entity Extractor** that automatically extracts named entities from messages and stores them in the message metadata.\n",
+    "- **Auto-token counting** of memories and summaries, allowing finer-grained control over prompt assembly.\n",
     "- Python and JavaScript SDKs.\n",
     "\n",
     "Zep project: [https://github.com/getzep/zep](https://github.com/getzep/zep)\n",
-    "Docs: [https://getzep.github.io](https://getzep.github.io/)\n"
+    "Docs: [https://docs.getzep.com/](https://docs.getzep.com/)\n"
    ]
   },
   {