From 9d94c8c7762b186d49230c1c53779abd266cf0db Mon Sep 17 00:00:00 2001 From: christy Date: Thu, 30 Nov 2023 11:14:10 -0800 Subject: [PATCH] Add image zilliz clusters, cleanup readme Signed-off-by: christy --- bootcamp/README.md | 11 ++++++----- bootcamp/milvus_connect.ipynb | 18 +++++++++++------- images/zilliz_cluster_choose.png | Bin 0 -> 213467 bytes 3 files changed, 17 insertions(+), 12 deletions(-) create mode 100644 images/zilliz_cluster_choose.png diff --git a/bootcamp/README.md b/bootcamp/README.md index 891614dd4..5c8a8e351 100644 --- a/bootcamp/README.md +++ b/bootcamp/README.md @@ -1,7 +1,8 @@ ### 📖 Tutorial Notebooks -| Notebook | Description | Video -|:-----------|:---------------------------|:------------| -| [Connect to Milvus/Zilliz](milvus_connect.ipynb)| Connect to Milvus running locally (lite, docker, k8s) or in a cloud (Zilliz).
Zilliz flavors include free tier (serverless) or paid (private cloud).| COMING SOON! | -| [Open source RAG with LangChain](RAG/readthedocs_zilliz_langchain.ipynb) | Build a question answering chatbot using your own product documentation for grounding LLMs (preventing hallucinations). This demo shows how to use all open-source LLMs (HuggingFace) for retrieval and chat with source citations. We also show how to use OpenAI ChatGPT for the last chat generation step. | COMING SOON! | -| [OpenAI Assistant with LlamaIndex](OpenAIAssistants/milvus_agent_llamaindex.ipynb) | This tutorial shows how to build an agent on top of the OpenAI Assistant API with a custom retriever tool. | COMING SOON! | \ No newline at end of file +| Description | Notebook | Reading | Video +|:---------------------------|:----------|:----------|:----------| +| High-level introduction to Vectors, Embeddings, Vector search, Milvus vector database. | | [Vector Database 101](https://zilliz.com/learn/what-is-vector-database) | +| Connect to Milvus local server (lite, docker, k8s) or in a cloud (Zilliz). Zilliz flavors include free tier (serverless) or paid (managed aws, google, azure). | [Connect to Milvus/Zilliz](milvus_connect.ipynb) | [Getting Started with a Milvus Connection](https://zilliz.com/blog/getting-started-with-a-milvus-connection) | COMING SOON! | +| Build a question answering chatbot using your own product documentation for grounding LLMs (preventing hallucinations). Uses all open-source LLMs (HuggingFace) for retrieval and chat with source citations. Uses OpenAI ChatGPT for the last chat generation step. | [Open source RAG with LangChain](RAG/readthedocs_zilliz_langchain.ipynb) | [Build an Open Source Chatbot](https://zilliz.com/blog/building-open-source-chatbot-using-milvus-and-langchain-in-5-minutes)| COMING SOON! | +| Build an agent on top of the OpenAI Assistant API with a custom retriever tool. | [OpenAI Assistant with LlamaIndex](OpenAIAssistants/milvus_agent_llamaindex.ipynb) | [Limitations of OpenAI for custom RAG](https://zilliz.com/blog/customizing-openai-built-in-retrieval-using-milvus-vector-database)| COMING SOON! | \ No newline at end of file diff --git a/bootcamp/milvus_connect.ipynb b/bootcamp/milvus_connect.ipynb index 21a8d21e1..200f54d3d 100644 --- a/bootcamp/milvus_connect.ipynb +++ b/bootcamp/milvus_connect.ipynb @@ -11,7 +11,7 @@ "\n", "💡 **For production purposes**, it is recommended to use Milvus local docker, clusters, or fully-managed Milvus on Zilliz Cloud.
\n", "\n", - "2. [Milvus local](https://milvus.io/docs/install_standalone-docker.md) requires local docker installed and running.\n", + "2. [Milvus local docker](https://milvus.io/docs/install_standalone-docker.md) requires local docker installed and running.\n", "3. [Ziliz Cloud free tier](#zilliz_free)\n", "4. Milvus clusters requires a K8s cluster up and running.\n", "5. LangChain Milvus and other 3rd party adapters.\n", @@ -456,8 +456,8 @@ "\n", "If you already have a Zilliz account and want to use free tier, just be sure to select \"Starter\" option when you [create your cluster](https://docs.zilliz.com/docs/create-cluster). ❤️‍🔥 **In other words, everybody gets free tier!!** \n", "- One free tier cluster per account.\n", - "- Per free tier cluster, up to two collections (or vectordb indexes, you can think of these like \"tables\" of vectors) at a time.\n", - "- Each free tier collection can support up to 1M vectors.\n", + "- Per free tier cluster, up to two collections at a time. (Think of a collection like a database table. Each collection has an index, schema, and consistency-level).\n", + "- Each free tier collection can support up to 1M vectors (Think of this like rows in a database table).\n", "\n", "If you require additional clusters, we recommend subscribing to either our Standard or Enterprise plan.\n", "\n", @@ -465,6 +465,10 @@ "\n", "1. From [cloud.zilliz.com](cloud.zilliz.com), click **\"+ Create Cluster\"**\n", "2. Select **Starter** option for the cluster and click **\"Next: Create Collection\"**\n", + "
\n", + "\n", + "
\n", + "\n", "3. Name your collection with a **Collection Name** and click **\"Create Collection and Cluster\"**.\n", "4. From the Clusters page, \n", " - copy the cluster uri and save somewhere locally.\n", @@ -473,10 +477,10 @@ "\n", "\n", "\n", - "5. Add the API KEY to your environment variables. See this [article for instructions](https://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety) how in either Windows or Mac/Linux environment.\n", - "6. In Jupyter, need .env file (in same dir as notebooks) containing lines like this:\n", - " - VARIABLE_NAME=value\n", - "7. In your code, connect to your Zilliz cluster, see code example below." + "1. Add the API KEY to your environment variables. See this [article for instructions](https://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety) how in either Windows or Mac/Linux environment.\n", + "2. In Jupyter, you'll also need .env file (in same dir as notebooks) containing lines like this:\n", + " - ZILLIZ_API_KEY=value\n", + "3. 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