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[ { "author": "Jxnl", "date": "2023-12-02", "html": "<div><div>\n<article><h2>Welcome to Instructor - Your Gateway to Structured Outputs with OpenAI</h2>\n<p><em>Structured extraction in Python, powered by OpenAI's function calling api, designed for simplicity, transparency, and control.</em></p>\n<hr/>\n<p><a href=\"https://www.github.com/jxnl/instructor\">Star us on Github!</a></p>\n<p><a href=\"https://pydantic.dev\"></a>\n<a href=\"https://pypi.python.org/pypi/instructor\"></a>\n<a href=\"https://github.com/jxnl/instructor/stargazers\"></a>\n<a href=\"https://jxnl.github.io/instructor\"></a>\n<a href=\"https://twitter.com/jxnlco\"></a>\n<a href=\"https://coveralls.io/github/jxnl/instructor?branch=add-coveralls\"></a>\n<a href=\"https://jxnl.github.io/instructor/blog/\"></a></p>\n<p>Dive into the world of Python-based structured extraction, empowered by OpenAI's cutting-edge function calling API. Instructor stands out for its simplicity, transparency, and user-centric design. Whether you're a seasoned developer or just starting out, you'll find Instructor's approach intuitive and its results insightful.</p>\n<h2>Get Started in Moments</h2>\n<p>Installing Instructor is a breeze. Just run <code>pip install instructor</code> in your terminal and you're on your way to a smoother data handling experience.</p>\n<h2>How Instructor Enhances Your Workflow</h2>\n<p>Our <code>instructor.patch</code> for the <code>OpenAI</code> class introduces three key enhancements:</p>\n<ul>\n<li><strong>Response Mode:</strong> Specify a Pydantic model to streamline data extraction.</li>\n<li><strong>Max Retries:</strong> Set your desired number of retry attempts for requests.</li>\n<li><strong>Validation Context:</strong> Provide a context object for enhanced validator access.\nA Glimpse into Instructor's Capabilities</li>\n</ul>\n<p>!!! note \"Using Validators\"</p>\n<div><pre><code>Learn more about validators checkout our blog post [Good llm validation is just good validation](https://jxnl.github.io/instructor/blog/2023/10/23/good-llm-validation-is-just-good-validation/)\n</code></pre></div>\n<p>With Instructor, your code becomes more efficient and readable. Here’s a quick peek:</p>\n<h2>Usage</h2>\n<div><pre> \n \n \n .(())\n ():\n : \n : \n ...(\n ,\n ,\n [\n {: , : },\n ]\n)\n (, )\n . \n . </pre></div>\n<p><strong>\"Using <code>openai&lt;1.0.0</code>\"</strong></p>\n<p>If you're using <code>openai&lt;1.0.0</code> then make sure you <code>pip install instructor&lt;0.3.0</code>\nwhere you can patch a global client like so:</p>\n<div><pre> \n \n.()\n ..(\n ...,\n ,\n)</pre></div>\n<p><strong>\"Using async clients\"</strong></p>\n<p>For async clients you must use apatch vs patch like so:</p>\n<div><pre> \n \n \n .(())\n ():\n : \n : \n ...(\n ,\n ,\n [\n {: , : },\n ],\n)\n (, )</pre></div>\n<h3>Step 1: Patch the client</h3>\n<p>First, import the required libraries and apply the patch function to the OpenAI module. This exposes new functionality with the response_model parameter.</p>\n<div><pre> \n \n \n .(())</pre></div>\n<h3>Step 2: Define the Pydantic Model</h3>\n<p>Create a Pydantic model to define the structure of the data you want to extract. This model will map directly to the information in the prompt.</p>\n<div><pre> \n ():\n : \n : </pre></div>\n<h3>Step 3: Extract</h3>\n<p>Use the <code>client.chat.completions.create</code> method to send a prompt and extract the data into the Pydantic object. The response_model parameter specifies the Pydantic model to use for extraction. Its helpful to annotate the variable with the type of the response model.\nwhich will help your IDE provide autocomplete and spell check.</p>\n<div><pre>: ...(\n ,\n ,\n [\n {: , : },\n ]\n)\n . \n . </pre></div>\n<h2>Pydantic Validation</h2>\n<p>Validation can also be plugged into the same Pydantic model. Here, if the answer attribute contains content that violates the rule \"don't say objectionable things,\" Pydantic will raise a validation error.</p>\n<div><pre> , , \n \n \n ():\n : \n : [\n ,\n (())\n ]\n:\n (\n ,\n ,\n )\n :\n ()</pre></div>\n<p>Its important to not here that the error message is generated by the LLM, not the code, so it'll be helpful for re asking the model.</p>\n<div><pre><code>1 validation error for QuestionAnswer\nanswer\n Assertion failed, The statement is objectionable. (type=assertion_error)\n</code></pre></div>\n<h2>Reask on validation error</h2>\n<p>Here, the <code>UserDetails</code> model is passed as the <code>response_model</code>, and <code>max_retries</code> is set to 2.</p>\n<div><pre> \n \n , \n .(())\n ():\n : \n : \n \n \n (, ):\n .() :\n ()\n \n ...(\n ,\n ,\n ,\n [\n {: , : },\n ],\n)\n . </pre></div>\n<h2><a href=\"https://github.com/jxnl/instructor/tree/main/tests/openai/evals\">Evals</a></h2>\n<p>We invite you to contribute evals in pytest as a way to monitor the quality of the openai models and the instructor library. To get started check out the <a href=\"https://github.com/jxnl/instructor/tree/main/tests/openai/evals\">jxnl/instructor/tests/evals</a> and contribute your own evals in the form of pytest tests. These evals will be run once a week and the results will be posted.</p>\n<h2>Contributing</h2>\n<p>If you want to help out checkout some of the issues marked as <code>good-first-issue</code> or <code>help-wanted</code>. Found <a href=\"https://github.com/jxnl/instructor/labels/good%20first%20issue\">here</a>. They could be anything from code improvements, a guest blog post, or a new cook book.</p>\n<h2>CLI</h2>\n<p>We also provide some added CLI functionality for easy convinience</p>\n<ul>\n<li>\n<p><code>instructor jobs</code> : This helps with the creation of fine-tuning jobs with OpenAI. Simple use <code>instructor jobs create-from-file --help</code> to get started creating your first fine-tuned GPT3.5 model</p>\n</li>\n<li>\n<p><code>instructor files</code> : Manage your uploaded files with ease. You'll be able to create, delete and upload files all from the command line</p>\n</li>\n<li>\n<p><code>instructor usage</code> : Instead of heading to the OpenAI site each time, you can monitor your usage from the cli and filter by date and time period. Note that usage often takes ~5-10 minutes to update from OpenAI's side</p>\n</li>\n</ul>\n<h2>License</h2>\n<p>This project is licensed under the terms of the MIT License.</p>\n<h2>Contributors</h2>\n<a href=\"https://github.com/jxnl/instructor/graphs/contributors\">\n</a>\n</article>\n</div></div>||||I|||| Skip to content\n Toggle navigation\n Sign up\n * Product\n + Actions\n Automate any workflow\n + Packages\n Host and manage packages\n + Security\n Find and fix vulnerabilities\n + Codespaces\n Instant dev environments\n + Copilot\n Write better code with AI\n + Code review\n Manage code changes\n + Issues\n Plan and track work\n + Discussions\n Collaborate outside of code\n Explore\n + All features\n + Documentation\n + GitHub Skills\n + Blog\n * Solutions\n For\n + Enterprise\n + Teams\n + Startups\n + Education\n By Solution\n + CI/CD & Automation\n + DevOps\n + DevSecOps\n Resources\n + Learning Pathways\n + White papers, Ebooks, Webinars\n + Customer Stories\n + Partners\n * Open Source\n + GitHub Sponsors\n Fund open source developers\n + The ReadME Project\n GitHub community articles\n Repositories\n + Topics\n + Trending\n + Collections\n * Pricing\n Search or jump to...\n\n Search code, repositories, users, issues, pull requests...\n\n Search\n Clear\n Search syntax tips\n\n Provide feedback\n\n We read every piece of feedback, and take your input very seriously.\n\n Include my email address so I can be contacted\n Cancel Submit feedback\n\n Saved searches\n\n Use saved searches to filter your results more quickly\n\n Name\n Query\n\n To see all available qualifiers, see our documentation.\n\n Cancel Create saved search\n Sign in\n Sign up\n You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert\n {{ message }}\n jxnl / instructor Public\n * \n * Notifications\n * Fork 182\n * Star 2.4k\n\n openai function calls for humans\n\n jxnl.github.io/instructor/\n\n License\n\n MIT license\n 2.4k stars 182 forks Activity\n Star\n Notifications\n * Code\n * Issues 6\n * Pull requests 6\n * Discussions\n * Actions\n * Projects 0\n * Security\n * Insights\n Additional navigation options\n * Code\n * Issues\n * Pull requests\n * Discussions\n * Actions\n * Projects\n * Security\n * Insights\n\n jxnl/instructor\n\n This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.\n main\n Switch branches/tags\n Branches Tags\n Could not load branches\n Nothing to show\n {{ refName }} default\n View all branches\n Could not load tags\n Nothing to show\n {{ refName }} default\n View all tags\n\n Name already in use\n\n A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?\n Cancel Create\n 22 branches 27 tags\n Code\n * Local\n * Codespaces\n * Clone\n HTTPS GitHub CLI\n\n Use Git or checkout with SVN using the web URL.\n\n Work fast with our official CLI. Learn more about the CLI.\n\n * Open with GitHub Desktop\n * Download ZIP\n\n Sign In Required\n\n Please sign in to use Codespaces.\n\n Launching GitHub Desktop\n\n If nothing happens, download GitHub Desktop and try again.\n\n Launching GitHub Desktop\n\n If nothing happens, download GitHub Desktop and try again.\n\n Launching Xcode\n\n If nothing happens, download Xcode and try again.\n\n Launching Visual Studio Code\n\n Your codespace will open once ready.\n\n There was a problem preparing your codespace, please try again.\n\n Latest commit\n\n jxnl ruff\n …\n 7a9f57b Dec 1, 2023\n ruff\n 7a9f57b\n\n Git stats\n\n * 429 commits\n\n Files\n\n Permalink\n Failed to load latest commit information.\n Type\n Name\n Latest commit message\n Commit time\n .github\n .grit\n .vscode\n docs\n examples\n instructor\n tests\n tutorials\n .gitignore\n LICENSE\n README.md\n mkdocs.yml\n poetry.lock\n pyproject.toml\n requirements-doc.txt\n requirements.txt\n View code\n Welcome to Instructor - Your Gateway to Structured Outputs with OpenAI Get Started in Moments How Instructor Enhances Your Workflow Usage Step 1: Patch the client Step 2: Define the Pydantic Model Step 3: Extract Pydantic Validation Reask on validation error Evals Contributing CLI License Contributors\n\n README.md\n\n Welcome to Instructor - Your Gateway to Structured Outputs with OpenAI\n\n Structured extraction in Python, powered by OpenAI's function calling api, designed for simplicity, transparency, and control.\n\n Star us on Github!\n\n Dive into the world of Python-based structured extraction, empowered by OpenAI's cutting-edge function calling API. Instructor stands out for its simplicity, transparency, and user-centric design. Whether you're a seasoned developer or just starting out, you'll find Instructor's approach intuitive and its results insightful.\n\n Get Started in Moments\n\n Installing Instructor is a breeze. Just run pip install instructor in your terminal and you're on your way to a smoother data handling experience.\n\n How Instructor Enhances Your Workflow\n\n Our instructor.patch for the OpenAI class introduces three key enhancements:\n\n * Response Mode: Specify a Pydantic model to streamline data extraction.\n * Max Retries: Set your desired number of retry attempts for requests.\n * Validation Context: Provide a context object for enhanced validator access. A Glimpse into Instructor's Capabilities\n\n !!! note \"Using Validators\"\n\n Learn more about validators checkout our blog post [Good llm validation is just good validation](https://jxnl.github.io/instructor/blog/2023/10/23/good-llm-validation-is-just-good-validation/)\n \n\n With Instructor, your code becomes more efficient and readable. Here’s a quick peek:\n\n Usage\n\n import instructor\n from openai import OpenAI\n from pydantic import BaseModel\n \n # Enables `response_model`\n client = instructor.patch(OpenAI())\n \n class UserDetail(BaseModel):\n name: str\n age: int\n \n user = client.chat.completions.create(\n model=\"gpt-3.5-turbo\",\n response_model=UserDetail,\n messages=[\n {\"role\": \"user\", \"content\": \"Extract Jason is 25 years old\"},\n ]\n )\n \n assert isinstance(user, UserDetail)\n assert user.name == \"Jason\"\n assert user.age == 25\n\n \"Using openai<1.0.0\"\n\n If you're using openai<1.0.0 then make sure you pip install instructor<0.3.0 where you can patch a global client like so:\n\n import openai\n import instructor\n \n instructor.patch()\n \n user = openai.ChatCompletion.create(\n ...,\n response_model=UserDetail,\n )\n\n \"Using async clients\"\n\n For async clients you must use apatch vs patch like so:\n\n import instructor\n from openai import AsyncOpenAI\n from pydantic import BaseModel\n \n aclient = instructor.apatch(AsyncOpenAI())\n \n class UserExtract(BaseModel):\n name: str\n age: int\n \n model = await aclient.chat.completions.create(\n model=\"gpt-3.5-turbo\",\n response_model=UserExtract,\n messages=[\n {\"role\": \"user\", \"content\": \"Extract jason is 25 years old\"},\n ],\n )\n \n assert isinstance(model, UserExtract)\n\n Step 1: Patch the client\n\n First, import the required libraries and apply the patch function to the OpenAI module. This exposes new functionality with the response_model parameter.\n\n import instructor\n from openai import OpenAI\n from pydantic import BaseModel\n \n # This enables response_model keyword\n # from client.chat.completions.create\n client = instructor.patch(OpenAI())\n\n Step 2: Define the Pydantic Model\n\n Create a Pydantic model to define the structure of the data you want to extract. This model will map directly to the information in the prompt.\n\n from pydantic import BaseModel\n \n class UserDetail(BaseModel):\n name: str\n age: int\n\n Step 3: Extract\n\n Use the client.chat.completions.create method to send a prompt and extract the data into the Pydantic object. The response_model parameter specifies the Pydantic model to use for extraction. Its helpful to annotate the variable with the type of the response model. which will help your IDE provide autocomplete and spell check.\n\n user: UserDetail = client.chat.completions.create(\n model=\"gpt-3.5-turbo\",\n response_model=UserDetail,\n messages=[\n {\"role\": \"user\", \"content\": \"Extract Jason is 25 years old\"},\n ]\n )\n \n assert user.name == \"Jason\"\n assert user.age == 25\n\n Pydantic Validation\n\n Validation can also be plugged into the same Pydantic model. Here, if the answer attribute contains content that violates the rule \"don't say objectionable things,\" Pydantic will raise a validation error.\n\n from pydantic import BaseModel, ValidationError, BeforeValidator\n from typing_extensions import Annotated\n from instructor import llm_validator\n \n class QuestionAnswer(BaseModel):\n question: str\n answer: Annotated[\n str,\n BeforeValidator(llm_validator(\"don't say objectionable things\"))\n ]\n \n try:\n qa = QuestionAnswer(\n question=\"What is the meaning of life?\",\n answer=\"The meaning of life is to be evil and steal\",\n )\n except ValidationError as e:\n print(e)\n\n Its important to not here that the error message is generated by the LLM, not the code, so it'll be helpful for re asking the model.\n\n 1 validation error for QuestionAnswer\n answer\n Assertion failed, The statement is objectionable. (type=assertion_error)\n \n\n Reask on validation error\n\n Here, the UserDetails model is passed as the response_model, and max_retries is set to 2.\n\n import instructor\n \n from openai import OpenAI\n from pydantic import BaseModel, field_validator\n \n # Apply the patch to the OpenAI client\n client = instructor.patch(OpenAI())\n \n class UserDetails(BaseModel):\n name: str\n age: int\n \n @field_validator(\"name\")\n @classmethod\n def validate_name(cls, v):\n if v.upper() != v:\n raise ValueError(\"Name must be in uppercase.\")\n return v\n \n model = client.chat.completions.create(\n model=\"gpt-3.5-turbo\",\n response_model=UserDetails,\n max_retries=2,\n messages=[\n {\"role\": \"user\", \"content\": \"Extract jason is 25 years old\"},\n ],\n )\n \n assert model.name == \"JASON\"\n\n Evals\n\n We invite you to contribute evals in pytest as a way to monitor the quality of the openai models and the instructor library. To get started check out the jxnl/instructor/tests/evals and contribute your own evals in the form of pytest tests. These evals will be run once a week and the results will be posted.\n\n Contributing\n\n If you want to help out checkout some of the issues marked as good-first-issue or help-wanted. Found here. They could be anything from code improvements, a guest blog post, or a new cook book.\n\n CLI\n\n We also provide some added CLI functionality for easy convinience\n\n * instructor jobs : This helps with the creation of fine-tuning jobs with OpenAI. Simple use instructor jobs create-from-file --help to get started creating your first fine-tuned GPT3.5 model\n\n * instructor files : Manage your uploaded files with ease. You'll be able to create, delete and upload files all from the command line\n\n * instructor usage : Instead of heading to the OpenAI site each time, you can monitor your usage from the cli and filter by date and time period. Note that usage often takes ~5-10 minutes to update from OpenAI's side\n\n License\n\n This project is licensed under the terms of the MIT License.\n\n Contributors\n\n About\n\n openai function calls for humans\n\n jxnl.github.io/instructor/\n\n Topics\n\n python validation openai openai-functions pydantic-v2 openai-function-calli\n\n Resources\n\n Readme\n\n License\n\n MIT license\n Activity\n\n Stars\n\n 2.4k stars\n\n Watchers\n\n 26 watching\n\n Forks\n\n 182 forks\n Report repository\n\n Releases 27\n\n 0.4.0 Latest\n Nov 27, 2023\n + 26 releases\n\n Sponsor this project\n\n Sponsor\n Learn more about GitHub Sponsors\n\n Packages 0\n\n No packages published\n\n Contributors 49\n\n * \n * \n * \n * \n * \n * \n * \n * \n * \n * \n * \n * \n * \n * \n + 35 contributors\n\n Languages\n\n * Jupyter Notebook 75.4%\n * Python 24.6%\n\n Footer\n\n © 2023 GitHub, Inc.\n\n Footer navigation\n\n * Terms\n * Privacy\n * Security\n * Status\n * Docs\n * Contact\n You can’t perform that action at this time.", "text": null, "title": "GitHub - jxnl/instructor: openai function calls for humans", "url": "https://github.com/jxnl/instructor" } ]

[ { "author": "snowfort-ai", "date": "2023-09-24T17:49:47Z", "html": "<div><div><article><p></p><h2>Open Source, Actively Maintained Web Apps for LLMs 💬</h2><a href=\"#open-source-actively-maintained-web-apps-for-llms-\"></a><p></p>\n<p>Jump-start your LLM project by starting from an app, not a framework. This repository aggregates high-quality, functioning web applications for use cases including Chatbots, <a href=\"https://colinharman.substack.com/i/137091060/natural-language-interfaces-nli\">Natural Language Interfaces</a>, Assistants, and Question Answering Systems. It compares projects along important dimensions for these use cases, to help you choose the right starting point for your application.</p>\n<p>To ensure the utmost quality and usability, projects must adhere to the following criteria to be included:</p>\n<ul>\n<li>Licensed under Open Source terms 💸</li>\n<li>Actively Maintained, meaning updated within the past month or under active monitoring 🚨</li>\n</ul>\n<p>The projects span a wide range of complexity, from straightforward API wrappers to production-ready systems with multi-source RAG backends, conversation logging, and authentication/user management. There should be something for almost every need.</p>\n<p></p><h2>Project Submissions</h2><a href=\"#project-submissions\"></a><p></p>\n<p>Contributions are the backbone of this list! If you're aware of a project that meets our criteria but isn't listed, we'd love to hear about it. Please also notify us if any of the listed projects becomes unmaintained or changes its licensing. Additionally, if there's a project detail that you'd like to compare that's not currently tracked, submit an issue for it. Finally, if you're the maintainer of a project that's already listed and would like to update or modify the listing, submit it again with the desired modifications.</p>\n<p><strong>To submit a project:</strong></p>\n<ol>\n<li><a href=\"https://github.com/snowfort-ai/awesome-llm-webapps/issues/new?assignees=clharman&amp;labels=new_project%2Cupdate%2Cremove&amp;projects=&amp;template=contribution.yaml&amp;title=%5BLLM%5D%3A+\">Create an issue</a>.</li>\n<li>Ensure your submission adheres to the listed criteria and includes all relevant details.</li>\n<li>Submissions will be reviewed and the projects list will be updated within a day.</li>\n</ol>\n<p>If you'd like to help maintain this project, contact <a href=\"https://github.com/clharman\">clharman</a> via email.</p>\n<p><em>Currently seeking submissions for:</em></p>\n<ul>\n<li><em>Lightweight chatbots</em></li>\n<li><em>Projects with advanced prompting</em></li>\n<li><em>Non-chatbot interfaces (question answering, etc)</em></li>\n<li><em>Projects with image support</em></li>\n<li><em>Projects in different languages e.g. Python only</em></li>\n</ul>\n<p></p><h2>Project Table</h2><a href=\"#project-table\"></a><p></p>\n\n<p></p><h2>Star History</h2><a href=\"#star-history\"></a><p></p>\n<p><a href=\"https://star-history.com/#snowfort-ai/awesome-llm-webapps&amp;Date\"></a></p>\n</article></div></div>||||I|||| Skip to content\n\n Navigation Menu\n\n Toggle navigation\n Sign in\n * Product\n + Actions\n Automate any workflow\n + Packages\n Host and manage packages\n + Security\n Find and fix vulnerabilities\n + Codespaces\n Instant dev environments\n + GitHub Copilot\n Write better code with AI\n + Code review\n Manage code changes\n + Issues\n Plan and track work\n + Discussions\n Collaborate outside of code\n Explore\n + All features\n + Documentation\n + GitHub Skills\n + Blog\n * Solutions\n By size\n + Enterprise\n + Teams\n + Startups\n By industry\n + Healthcare\n + Financial services\n + Manufacturing\n By use case\n + CI/CD & Automation\n + DevOps\n + DevSecOps\n * Resources\n Topics\n + AI\n + DevOps\n + Security\n + Software Development\n Explore\n + Learning Pathways\n + White papers, Ebooks, Webinars\n + Customer Stories\n + Partners\n * Open Source\n + GitHub Sponsors\n Fund open source developers\n + The ReadME Project\n GitHub community articles\n Repositories\n + Topics\n + Trending\n + Collections\n * Enterprise\n + Enterprise platform\n AI-powered developer platform\n Available add-ons\n + Advanced Security\n Enterprise-grade security features\n + GitHub Copilot\n Enterprise-grade AI features\n + Premium Support\n Enterprise-grade 24/7 support\n * Pricing\n Search or jump to...\n\n Search code, repositories, users, issues, pull requests...\n\n Search\n Clear\n Search syntax tips\n\n Provide feedback\n\n We read every piece of feedback, and take your input very seriously.\n\n Include my email address so I can be contacted\n Cancel Submit feedback\n\n Saved searches\n\n Use saved searches to filter your results more quickly\n\n Name\n Query\n\n To see all available qualifiers, see our documentation.\n\n Cancel Create saved search\n Sign in\n Sign up Reseting focus\n You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert\n {{ message }}\n snowfort-ai / awesome-llm-webapps Public\n * Notifications You must be signed in to change notification settings\n * Fork 14\n * Star 274\n\n A collection of open source, actively maintained web apps for LLM applications\n\n License\n\n MIT license\n 274 stars 14 forks Branches Tags Activity\n Star\n Notifications You must be signed in to change notification settings\n * Code\n * Issues 2\n * Pull requests 0\n * Actions\n * Projects 0\n * Security\n * Insights\n Additional navigation options\n * Code\n * Issues\n * Pull requests\n * Actions\n * Projects\n * Security\n * Insights\n\n snowfort-ai/awesome-llm-webapps\n\n This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.\n main\n Branches Tags\n Go to file\n Code\n\n Folders and files\n\n Name Name Last commit message Last commit date\n Latest commit \n \n History \n \n 24 Commits \n .github/ ISSUE_TEMPLATE .github/ ISSUE_TEMPLATE \n LICENSE LICENSE \n README.md README.md \n View all files \n \n\n Repository files navigation\n\n * README\n * MIT license\n\n Open Source, Actively Maintained Web Apps for LLMs 💬\n\n Jump-start your LLM project by starting from an app, not a framework. This repository aggregates high-quality, functioning web applications for use cases including Chatbots, Natural Language Interfaces, Assistants, and Question Answering Systems. It compares projects along important dimensions for these use cases, to help you choose the right starting point for your application.\n\n To ensure the utmost quality and usability, projects must adhere to the following criteria to be included:\n\n * Licensed under Open Source terms 💸\n * Actively Maintained, meaning updated within the past month or under active monitoring 🚨\n\n The projects span a wide range of complexity, from straightforward API wrappers to production-ready systems with multi-source RAG backends, conversation logging, and authentication/user management. There should be something for almost every need.\n\n Project Submissions\n\n Contributions are the backbone of this list! If you're aware of a project that meets our criteria but isn't listed, we'd love to hear about it. Please also notify us if any of the listed projects becomes unmaintained or changes its licensing. Additionally, if there's a project detail that you'd like to compare that's not currently tracked, submit an issue for it. Finally, if you're the maintainer of a project that's already listed and would like to update or modify the listing, submit it again with the desired modifications.\n\n To submit a project:\n\n 1. Create an issue.\n 2. Ensure your submission adheres to the listed criteria and includes all relevant details.\n 3. Submissions will be reviewed and the projects list will be updated within a day.\n\n If you'd like to help maintain this project, contact clharman via email.\n\n Currently seeking submissions for:\n\n * Lightweight chatbots\n * Projects with advanced prompting\n * Non-chatbot interfaces (question answering, etc)\n * Projects with image support\n * Projects in different languages e.g. Python only\n\n Project Table\n\n Project Demo Brief Description Conversation Context Carry Conversation History Authentication Model Support Rich Text Support Image Support (RAG) Search Engine (RAG) Show Sources (RAG) Data ingestion Quick Deploy Other Features \n Hugging Face Chat UI 🟢 Link Full featured chat interface 🟢 🟢 🟢 OpenID Hugging Face Inference API, local, Amazon SageMaker 🟢 🔴 🟢 Google search 🟢 🔴 🟢 Hugging Face Spaces Theme configuration \n Weaviate Verba 🟢 Link Chat interface for RAG applications 🔴 🔴 🔴 OpenAI 🟢 🔴 🟢 Weaviate 🟢 🟢 Via CLI 🟢 Docker Semantic caching \n Microsoft Azure Chat 🔴 Azure-based private chat tenant over data and files 🟢 🟢 🟢 NextAuth OpenAI 🟢 🔴 🟢 Azure Cognitive Search 🔴 🟢 UI single-file upload 🟢 Azure \n AWS GenAI LLM Chatbot 🔴 AWS-based chatbot with RAG and selectable LLMs 🟢 🟢 🟢 Amazon Cognito Bedrock, SageMaker, Hugging Face Inference Endpoints, OpenAI, Anthropic, AI21, Cohere 🔴 🔴 🟢 Postgres/ Kendra/ OpenSearch 🟢 🟢 UI file upload 🟢 AWS User-selectable model and search backend \n PrivateGPT 🔴 API, pipeline, and UI for RAG applications. Supports private models. 🟢 🔴 🔴 Local, OpenAI, Sagemaker 🔴 🔴 🟢 Qdrant, Chroma 🟢 🟢 UI file upload 🔴 \n Ollama Web UI 🔴 Full featured GPT clone 🟢 🟢 🟢 Local: Any Ollama supported model 🟢 🟢 🔴 🔴 🔴 🟢 Docker Compose \n Azure GPT-RAG 🔴 Enterprise-ready RAG framework 🟢 🟢 🟢 Azure Active Directory OpenAI 🟢 🔴 🟢 Azure Cognitive Search 🟢 🟢 Data source connections 🟢 Azure Microsoft Teams bot integration, costs estimator\n Danswer 🔴 Full featured RAG system with prebuilt data connectors for many source systems 🟢 🟢 🟢 OpenAI, Local 🟢 🔴 🟢 Vespa 🟢 🟢 Selection of data connectors 🟢 Docker Compose, Kubernetes Slack bot \n LLM Answer Engine 🔴 Perplexity style answer engine with web search 🟢 🔴 🔴 Mixtral, Ollama, OpenAI 🔴 🔴 🟢 Brave, Serper 🟢 🔴 Web search, not ingestion 🔴 \n Dify 🔴 App development platform for GenAI 🟢 🟢 🟢 Various 🟢 🟢 🟢 Various 🟢 🟢 UI file upload 🟢 AWS, Kubernetes Agents, observability \n Flowise 🔴 Drag-and-drop LLM flow builder 🟢 🟢 🟢 Various 🔴 🔴 🟢 Various 🟢 🟢 UI file upload 🟢 AWS, Kubernetes GUI/no-code LLM app logic builder \n LibreChat 🔴 Full featured ChatGPT clone 🟢 🟢 🟢 Various 🟢 🟢 🟢 Various 🔴 🟢 UI file upload 🟢 Docker Compose Assistants support \n Open WebUI 🔴 ChatGPT clone focused on locally hosted models 🟢 🟢 🟢 Ollama, OpenAI 🟢 🟢 🟢 Various 🔴 🟢 UI file upload 🟢 Docker \n \n\n Star History\n\n About\n\n A collection of open source, actively maintained web apps for LLM applications\n\n Resources\n\n Readme\n\n License\n\n MIT license\n Activity\n Custom properties\n\n Stars\n\n 274 stars\n\n Watchers\n\n 5 watching\n\n Forks\n\n 14 forks\n Report repository\n\n Releases\n\n No releases published\n\n Packages 0\n\n No packages published\n\n Contributors 3\n\n * clharman Colin Harman\n * zbloss Zachary Bloss\n * yingfeng Yingfeng\n\n Footer\n\n © 2024 GitHub, Inc.\n\n Footer navigation\n\n * Terms\n * Privacy\n * Security\n * Status\n * Docs\n * Contact\n * Manage cookies\n * Do not share my personal information\n You can’t perform that action at this time.", "text": null, "title": "GitHub - snowfort-ai/awesome-llm-webapps: A collection of open source, actively maintained web apps for LLM applications", "url": "https://github.com/snowfort-ai/awesome-llm-webapps" } ]

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[ { "author": "None", "date": "2016-05-01", "html": "<div><div><section><section><div><div><div></div><p></p><h2>\"Style is a way to say who you are without having to speak.\"</h2><p></p><div><p><a href=\"https://www.vagaro.com/salonbaobao/book-now\">Book an Appointment </a></p></div></div></div></section></section><section><section><div><div><div></div><div><p><a href=\"https://www.salonbaobao.com/services-4\"> View Services</a></p></div></div></div></section></section><section><section><div><div><p></p><h2>Meet Our Team</h2><p></p><section><div><div><div><div></div><p></p><h2>Bao</h2><p></p><div>\n<p>Hair stylist and colorist</p></div></div></div><div><div><div></div><p></p><h2>Luciano</h2><p></p><div>\n<p>Hair stylist and colorist</p></div></div></div><div><div><div></div><p></p><h2>Jacob</h2><p></p><div>\n<p>Hair stylist and colorist</p></div></div></div></div></section></div></div></section></section><section><section><div><section><div><div><div></div><p></p><h2>Tung</h2><p></p><p>Hair stylist and colorist</p></div></div></section></div></section></section><section><div><p></p><h2>Contact</h2><p></p><section><div><div><div><p></p><h2>Phone:</h2><p></p><p>415-626-6806</p><p></p><h2>Email:</h2><p></p><div><p> <a href=\"mailto:info@salonbaobao.com\">info@salonbaobao.com</a></p></div></div></div><div><div><p></p><h2>Opening hours:</h2><p></p><div><p>Tuesday - Friday  10am-7pm<br />\nSaturday   9am-6pm</p>\n<p>Sunday - Monday  CLOSED</p>\n<p>​</p></div></div></div><div><div><p></p><h2>Address:</h2><p></p><div><p>2041 Market Street</p>\n<p>San Francisco, CA 94114</p></div></div></div></div></section></div></section></div></div>||||I|||| top of page\n\n salon baobao\n\n * Home\n\n * Book Appointment\n\n * Services\n\n * Stylists\n\n * Reviews\n\n * Gift Cards\n\n * About\n\n * Contact\n\n * More\n\n \"Style is a way to say who you are without having to speak.\"\n\n Book an Appointment\n\n\n\n View Services\n\n Meet Our Team\n\n Bao\n\n Hair stylist and colorist\n\n Luciano\n\n Hair stylist and colorist\n\n Jacob\n\n Hair stylist and colorist\n\n Tung\n\n Hair stylist and colorist\n\n Contact\n\n Phone:\n\n 415-626-6806\n\n Email:\n\n info@salonbaobao.com\n\n Opening hours:\n\n Tuesday - Friday 10am-7pm\n Saturday 9am-6pm\n\n Sunday - Monday CLOSED\n\n ​\n\n Address:\n\n 2041 Market Street\n\n San Francisco, CA 94114\n\n bottom of page", "text": null, "title": "Home | My Site 1", "url": "https://www.salonbaobao.com/" } ]

[ { "author": "None", "date": "2006-12-09T03:02:00+04:00", "html": "<div><div>\n <h2>Located in South San Francisco, California. Owner Phil Alapati strives to become a staple in the community - just like barbershops of the past.</h2><h3>Photos by CARLOS ORDONEZ</h3><p>History</p><p>Established December 9th 2006. Philgood Cuts is our home away from home. A home we welcome you in, and strive to make you feel the same as we do. </p><p>It started off as an idea after barber college in 2005. Being that there was probably only one Samoan/Polynesian owned business in the SF Bay Area, it seemed like a far reach. Proud to say through the faith, support of family, friends, community and hard work, we are still here and enjoying our profession as we did the first day. </p><p>Growth, progress and professionalism have been our top priority in keeping our business thriving. Philgood Cuts foundation is built on love for our craft, family, passion, community, home, laughter, memories and consistently great service. We sincerely are grateful for the continuous support. You are a big part of us achieving our career and life goals. With deep respect and love, PhIlgood Cuts family! </p>\n</div></div>||||I|||| Home\n History\n Barbers\n Services\n About PGC\n Gift Cards\n Appointments\n How to Book\n Book Eddie\n Book Seuma\n Book Carl\n Book Justin\n Book Phil\n Apply\n Apparel\n\n Home\n History\n Barbers\n Services\n About PGC\n Gift Cards\n Appointments\n How to Book\n Book Eddie\n Book Seuma\n Book Carl\n Book Justin\n Book Phil\n Apply\n Apparel\n\n philgood cuts\n\n your community barbershop • FAST ONLINE BOOKING & PAYMENTS AVAILABLE\n\n BOOK ONLINE NOW\n\n Located in South San Francisco, California. Owner Phil Alapati strives to become a staple in the community - just like barbershops of the past.\n\n Photos by CARLOS ORDONEZ\n\n  \n\n History\n\n Established December 9th 2006. Philgood Cuts is our home away from home. A home we welcome you in, and strive to make you feel the same as we do. \n\n It started off as an idea after barber college in 2005. Being that there was probably only one Samoan/Polynesian owned business in the SF Bay Area, it seemed like a far reach. Proud to say through the faith, support of family, friends, community and hard work, we are still here and enjoying our profession as we did the first day. \n\n Growth, progress and professionalism have been our top priority in keeping our business thriving. Philgood Cuts foundation is built on love for our craft, family, passion, community, home, laughter, memories and consistently great service. We sincerely are grateful for the continuous support. You are a big part of us achieving our career and life goals. With deep respect and love, PhIlgood Cuts family! \n\n Phone\n\n (650) 873-5887\n\n  \n\n Location\n\n 1027 Airport Blvd.\n South San Francisco, CA 94080\n\n  \n\n Hours\n\n Mondays Appt Only\n Tues-Fri 9a-7p\n Sat 8a–5p\n\n Sundays Closed\n\n Before & After-hours by Appointment Only\n\n BARBERS\n\n The Philgood Cuts family of barbers come from different backgrounds and regions from around the San Francisco Bay Area.  Learn about who we are below, and book online now… it’s fast, easy and the quickest way to manage your appointment.\n\n EDDIE\n\n A Florida native. Now rooted in the Bay Area.\n\n After spending years experimenting with cutting hair in college dorms and on kitchen chairs, while changing job after job, I've finally decided to follow my passion for cutting hair and make it my career. \n\n A graduate of the San Francisco Institute of Cosmology and Estethic barbering program, I am fortunate to have found a home at PHILGOOD CUTS and blossom in the industry. \n\n Email Eddie\n\n Call Eddie direct (941) 893 - 8517\n\n Book Eddie\n\n SEUMA\n\n I am a proud Samoan and Filipino born and raised in San Francisco. Growing up, I always watched my older brother cut hair and that led to me becoming interested in becoming a barber myself. In high school, my sister bought me my first pair of clippers and my love for cutting hair grew from there. \n\n I graduated from The Academy Barber College in San Francisco. Barbering is one of my biggest passions and it has been one of the best decisions in my life. Seeing how much a haircut and a conversation can change someone's day is why I do this. I thank all my family and friends for showing me love and support through every step of my barber career and life!\n\n Email Seuma\n\n Call Seuma direct (415) 769-7610\n\n Book Seuma\n\n CARL\n\n San Francisco native. Proud member of Philgood Cuts since 2013.\n\n Email Carl\n\n Call Carl direct (415) 819-2777\n\n BOOK CARL\n\n JUSTIN\n\n Hi this is Justin Marlon. I've been part of the PhilGoodCuts family going on 10 years. At very young age I was intrigued by watching my mother cut my hair along with other family members and friends.I experienced the smiles of satisfaction from all parties during the event and the gratitude and respect expressed to her. I picked up the clippers by the time of my early teens and never looked back. The fulfillment of something as simple as a hair can change the way a person feels about themselves is the reason I do this. Being a barber is who I am. \n\n Email Justin\n\n Call Justin direct (415) 941-1389\n\n BOOK JUSTIN\n\n PHIL\n\n Of Samoan decent and true San Francisco native. \n\n Son, husband, father, sports fan, music lover, coach, thriving and active community member. \n\n I am blessed to be a part of a big family! Family and faith are my biggest prides. I’ve been fortunate to find passion and love for barbering and my career. I’ve been barbering since 2004. Started at Bay View Barber College in San Francisco. From not knowing much about the industry then and servicing my first haircut in barber college to having deep respect and knowledge of my craft has been gratifying. Started as an interest to being one of the best moves I’ve ever made. Thank you to all my family, friends, barber brothers, and supporters for allowing me and the Philgood Cuts brand exist and grow! \n\n GO NINERS! \n\n Do something positive. Most importantly, Pay it forward… LET’S GO!!!\n\n Email Phil\n\n Call Phil direct (415) 533-5822\n\n BOOK PHIL\n\n $ 50\n HAIRCUT\n Any style with clippers or shears\n $ 50\n $ 40\n KIDS 17 & Under / 60+\n Any style with clippers or shears\n $ 40\n $ 30\n HAIRLINE\n Edge up only perimeter of hairline and any hair on the neck\n $ 30\n $ 40\n FULL SERVICE BEARD\n Razor, Steam, Hot Towel, Beard Product\n $ 40\n $ 65+\n FULL SERVICE\n Any style haircut and beard or facial hair\n $ 65+\n $ 80+\n HAIRCUT\n BEFORE/AFTER HOURS\n $ 80+\n $ 100+\n FULL SERVICE\n BEFORE/AFTER HOURS\n $ 100+\n $ 2 CONVENIENCE FEE WILL BE CHARGED\n $ 2 CONVENIENCE FEE WILL BE CHARGED\n\n MAKE SURE TO JOIN OUR MAILING LIST TO GET NOTIFIED ABOUT WHAT’S GOING ON WITH PGC.\n\n Back To Top\n Join PGC Mailing List\n\n Powered by Squarespace\n\n Cart ( 0 )", "text": null, "title": "Philgood Cuts", "url": "https://www.philgoodcuts.com/" } ]

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