adeelahmad

# Qdrant

Vector databases are a relatively new way for interacting with abstract data representations derived from opaque machine learning models such as deep learning architectures. These representations are often called vectors or embeddings and they are a compressed version of the data used to train a machine learning model to accomplish a task like sentiment analysis, speech recognition, object detection, and many others.

These new databases shine in many applications like semantic search and recommendation systems, and here, we’ll learn about one of the most popular and fastest growing vector databases in the market, Qdrant.

Concepts

1. Collection

adeelahmad

from autogen import AssistantAgent, GroupChatManager, UserProxyAgent
from autogen.agentchat import GroupChat

config_list = [
    {
        "model": "ollama/mistralorca",
        "api_base": "http://localhost:8000",  # litellm compatible endpoint
        "api_type": "open_ai",
        "api_key": "NULL",  # just a placeholder
    }

adeelahmad

# %%
import os
import openai
# import autogen
from autogen import Agent, ConversableAgent, oai, UserProxyAgent, AssistantAgent
import types
from dotenv import load_dotenv, find_dotenv
from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union

_ = load_dotenv(find_dotenv()) # read local .env file

adeelahmad

# must have conda installed
git clone https://github.com/joonspk-research/generative_agents.git
cd generative_agents
# open visual studio code, open gen agents folder
# within vscode, go to reverie/backend_server
# create new file utils.py
# copy/paste contents from github (below)

###
# Copy and paste your OpenAI API Key

adeelahmad

This Gist provides a solution to periodically capture screenshots of your Mac, and create therefrom a searchable PDF archive so that you can always get an answer to the “what, when, and where” questions about your usages.

To use these scripts:

1. Download the shell script rewind, then:
   1. put it under ~/bin (or other fixed path you prefer);
   2. execute

adeelahmad

# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software