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Harrison/zep mem (#6388)

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Co-authored-by: Daniel Chalef <131175+danielchalef@users.noreply.github.com>
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Harrison Chase 2023-06-18 16:53:35 -07:00 committed by GitHub
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22
docs/extras/modules/data_connection/retrievers/integrations/zep_memorystore.ipynb
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@ -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"
]
},
{

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docs/extras/modules/memory/integrations/zep_memory.ipynb
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@ -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"
]
},
{