From b1c3130650481da1e6812ff1d99b3b6d662d039c Mon Sep 17 00:00:00 2001 From: christy Date: Mon, 20 Nov 2023 16:35:37 -0800 Subject: [PATCH] Update simple OSS RAG demo Signed-off-by: christy --- .../readthedocs_rag_milvus_client.ipynb | 27 +++++-------------- 1 file changed, 7 insertions(+), 20 deletions(-) diff --git a/notebooks/llms/langchain/readthedocs_rag_milvus_client.ipynb b/notebooks/llms/langchain/readthedocs_rag_milvus_client.ipynb index 7ad1c183b..46905cc29 100755 --- a/notebooks/llms/langchain/readthedocs_rag_milvus_client.ipynb +++ b/notebooks/llms/langchain/readthedocs_rag_milvus_client.ipynb @@ -740,28 +740,15 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0th query result\n", - "id: 445782430324621984, distance: 0.7082178592681885, entity: {'chunk': \"index_file_size (int) – Segment size. See Storage Concepts. metric_type (MetricType) – Distance Metrics type. Valued form MetricType. See Distance Metrics. A demo is as follow: param={'collection_name': 'name', 'dimension': 16, 'index_file_size': 1024 # Optional, default 1024， 'metric_type': MetricType.L2 # Optional, default MetricType.L2 } timeout (float) – An optional duration of time in seconds to allow for the RPC. When timeout is set to None, client waits until server responses or error occurs.\", 'source': 'https://pymilvus.readthedocs.io/en/latest/api.html', 'h1': 'API reference', 'h2': 'Client'}\n", - "id: 445782430324622095, distance: 0.690363883972168, entity: {'chunk': 'A metric for binary vectors, only support :attr:`~milvus.IndexType.FLAT` index. #: See `Substructure `_. SUPERSTRUCTURE = 7 def __repr__(self): return \"\".format(self.__class__.__name__, self._name_) def __str__(self): return self._name_', 'source': 'https://pymilvus.readthedocs.io/en/latest/_modules/milvus/client/types.html', 'h1': 'Source code for milvus.client.types from enum import IntEnum class Status: \"\"\" :attribute code: int (optional) default as ok :attribute message: str (optional) current status message \"\"\" SUCCESS = 0 U', 'h2': ''}\n", - "id: 445782430324621945, distance: 0.6885938048362732, entity: {'chunk': 'you can refer to Storage Concepts for more information about segments and index_file_size. metric_type:Milvus compute distance between two vectors, you can refer to Distance Metrics for more information. Now we can create a collection: >>> collection_name = \\'demo_film_tutorial\\' >>> collection_param = { ... \"collection_name\": collection_name, ... \"dimension\": 8, ... \"index_file_size\": 2048, ... \"metric_type\": MetricType.L2 ... } >>> client.create_collection(collection_param) Status(code=0, message=\\'Create', 'source': 'https://pymilvus.readthedocs.io/en/latest/tutorial.html', 'h1': 'Tutorial', 'h2': 'This is a basic introduction to Milvus by PyMilvus. For a runnable python script, checkout example.py on PyMilvus Github, or hello milvus on Milvus official website. It’s a good recommended start to g'}\n", - "id: 445782430324621947, distance: 0.6716917157173157, entity: {'chunk': \"metric_type=) The attributes of collection can be extracted from info. >>> info.collection_name 'demo_film_tutorial' >>> info.dimension 8 >>> info.index_file_size 2048 >>> info.metric_type This tutorial is a basic intro tutorial, building index won’t be covered by this tutorial. If you want to go further into Milvus with indexes, it’s recommended to check our index examples. If you’re already known about indexes from index examples, and you want a full lists of params supported by PyMilvus, you check out\", 'source': 'https://pymilvus.readthedocs.io/en/latest/tutorial.html', 'h1': 'Tutorial', 'h2': 'This is a basic introduction to Milvus by PyMilvus. For a runnable python script, checkout example.py on PyMilvus Github, or hello milvus on Milvus official website. It’s a good recommended start to g'}\n", - "id: 445782430324622037, distance: 0.6690606474876404, entity: {'chunk': \"-- Segment size. See `Storage Concepts `_. * *metric_type* (``MetricType``) -- Distance Metrics type. Valued form :class:`~milvus.MetricType`. See `Distance Metrics `_. A demo is as follow: .. code-block:: python param={'collection_name': 'name', 'dimension': 16, 'index_file_size': 1024 # Optional, default 1024， 'metric_type': MetricType.L2 # Optional, default MetricType.L2 } :param timeout: An optional duration of time in seconds to allow for the RPC. When timeout is set to None, client waits until\", 'source': 'https://pymilvus.readthedocs.io/en/latest/_modules/milvus/client/stub.html', 'h1': 'Source code for milvus.client.stub # -*- coding: UTF-8 -*- import collections import copy import functools import logging from urllib.parse import urlparse from . import __version__ from .types import', 'h2': ''}\n", - "2267\n" - ] - } - ], + "outputs": [], "source": [ - "for n, hits in enumerate(results):\n", - " print(f\"{n}th query result\")\n", - " for hit in hits:\n", - " print(hit)\n", + "# # TODO - remove this before saving in github.\n", + "# for n, hits in enumerate(results):\n", + "# print(f\"{n}th query result\")\n", + "# for hit in hits:\n", + "# print(hit)\n", "\n", "# Assemble the context as a stuffed string.\n", "context = \"\"\n",