Docs refactor (#480)
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:
- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.
There is also a full reference section, as well as extra resources
(glossary, gallery, etc)
Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
1 year ago
LangChain Gallery
=============
Lots of people have built some pretty awesome stuff with LangChain.
This is a collection of our favorites.
If you see any other demos that you think we should highlight, be sure to let us know!
Open Source
-----------
.. panels ::
:body: text-center
---
.. link-button :: https://github.com/bborn/howdoi.ai
:type: url
:text: HowDoI.ai
:classes: stretched-link btn-lg
+++
This is an experiment in building a large-language-model-backed chatbot. It can hold a conversation, remember previous comments/questions,
and answer all types of queries (history, web search, movie data, weather, news, and more).
---
.. link-button :: https://colab.research.google.com/drive/1sKSTjt9cPstl_WMZ86JsgEqFG-aSAwkn?usp=sharing
:type: url
:text: YouTube Transcription QA with Sources
:classes: stretched-link btn-lg
+++
An end-to-end example of doing question answering on YouTube transcripts, returning the timestamps as sources to legitimize the answer.
---
.. link-button :: https://github.com/normandmickey/MrsStax
:type: url
:text: QA Slack Bot
:classes: stretched-link btn-lg
+++
This application is a Slack Bot that uses Langchain and OpenAI's GPT3 language model to provide domain specific answers. You provide the documents.
---
Docs refactor (#480)
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:
- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.
There is also a full reference section, as well as extra resources
(glossary, gallery, etc)
Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
1 year ago
.. link-button :: https://github.com/OpenBioLink/ThoughtSource
:type: url
:text: ThoughtSource
:classes: stretched-link btn-lg
+++
A central, open resource and community around data and tools related to chain-of-thought reasoning in large language models.
---
.. link-button :: https://github.com/blackhc/llm-strategy
:type: url
:text: LLM Strategy
:classes: stretched-link btn-lg
+++
This Python package adds a decorator llm_strategy that connects to an LLM (such as OpenAI’
---
.. link-button :: https://github.com/JohnNay/llm-lobbyist
Docs refactor (#480)
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:
- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.
There is also a full reference section, as well as extra resources
(glossary, gallery, etc)
Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
1 year ago
:type: url
:text: Zero-Shot Corporate Lobbyist
:classes: stretched-link btn-lg
+++
A notebook showing how to use GPT to help with the work of a corporate lobbyist.
---
.. link-button :: https://dagster.io/blog/chatgpt-langchain
:type: url
:text: Dagster Documentation ChatBot
:classes: stretched-link btn-lg
+++
A jupyter notebook demonstrating how you could create a semantic search engine on documents in one of your Google Folders
---
.. link-button :: https://github.com/venuv/langchain_semantic_search
:type: url
:text: Google Folder Semantic Search
:classes: stretched-link btn-lg
+++
Build a GitHub support bot with GPT3, LangChain, and Python.
---
.. link-button :: https://huggingface.co/spaces/team7/talk_with_wind
:type: url
:text: Talk With Wind
:classes: stretched-link btn-lg
+++
Record sounds of anything (birds, wind, fire, train station) and chat with it.
---
.. link-button :: https://huggingface.co/spaces/JavaFXpert/Chat-GPT-LangChain
:type: url
:text: ChatGPT LangChain
:classes: stretched-link btn-lg
+++
This simple application demonstrates a conversational agent implemented with OpenAI GPT-3.5 and LangChain. When necessary, it leverages tools for complex math, searching the internet, and accessing news and weather.
---
Docs refactor (#480)
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:
- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.
There is also a full reference section, as well as extra resources
(glossary, gallery, etc)
Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
1 year ago
.. link-button :: https://huggingface.co/spaces/JavaFXpert/gpt-math-techniques
:type: url
:text: GPT Math Techniques
:classes: stretched-link btn-lg
+++
A Hugging Face spaces project showing off the benefits of using PAL for math problems.
---
.. link-button :: https://colab.research.google.com/drive/1xt2IsFPGYMEQdoJFNgWNAjWGxa60VXdV
:type: url
:text: GPT Political Compass
:classes: stretched-link btn-lg
+++
Measure the political compass of GPT.
---
.. link-button :: https://github.com/hwchase17/notion-qa
:type: url
:text: Notion Database Question-Answering Bot
:classes: stretched-link btn-lg
+++
Open source GitHub project shows how to use LangChain to create a chatbot that can answer questions about an arbitrary Notion database.
---
.. link-button :: https://github.com/jerryjliu/gpt_index
:type: url
:text: GPT Index
:classes: stretched-link btn-lg
+++
GPT Index is a project consisting of a set of data structures that are created using GPT-3 and can be traversed using GPT-3 in order to answer queries.
---
.. link-button :: https://github.com/JavaFXpert/llm-grovers-search-party
:type: url
:text: Grover's Algorithm
:classes: stretched-link btn-lg
+++
Leveraging Qiskit, OpenAI and LangChain to demonstrate Grover's algorithm
---
.. link-button :: https://huggingface.co/spaces/rituthombre/QNim
:type: url
:text: QNimGPT
:classes: stretched-link btn-lg
+++
A chat UI to play Nim, where a player can select an opponent, either a quantum computer or an AI
---
Docs refactor (#480)
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:
- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.
There is also a full reference section, as well as extra resources
(glossary, gallery, etc)
Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
1 year ago
.. link-button :: https://colab.research.google.com/drive/19WTIWC3prw5LDMHmRMvqNV2loD9FHls6?usp=sharing
:type: url
:text: ReAct TextWorld
:classes: stretched-link btn-lg
+++
Leveraging the ReActTextWorldAgent to play TextWorld with an LLM!
---
.. link-button :: https://github.com/jagilley/fact-checker
:type: url
:text: Fact Checker
:classes: stretched-link btn-lg
+++
This repo is a simple demonstration of using LangChain to do fact-checking with prompt chaining.
---
.. link-button :: https://github.com/arc53/docsgpt
:type: url
:text: DocsGPT
:classes: stretched-link btn-lg
+++
Answer questions about the documentation of any project
Docs refactor (#480)
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:
- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.
There is also a full reference section, as well as extra resources
(glossary, gallery, etc)
Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
1 year ago
Misc. Colab Notebooks
~~~~~~~~~~~~~~~
.. panels ::
:body: text-center
---
.. link-button :: https://colab.research.google.com/drive/1AAyEdTz-Z6ShKvewbt1ZHUICqak0MiwR?usp=sharing
:type: url
:text: Wolfram Alpha in Conversational Agent
:classes: stretched-link btn-lg
+++
Give ChatGPT a WolframAlpha neural implant
---
.. link-button :: https://colab.research.google.com/drive/1UsCLcPy8q5PMNQ5ytgrAAAHa124dzLJg?usp=sharing
:type: url
:text: Tool Updates in Agents
:classes: stretched-link btn-lg
+++
Agent improvements (6th Jan 2023)
---
.. link-button :: https://colab.research.google.com/drive/1UsCLcPy8q5PMNQ5ytgrAAAHa124dzLJg?usp=sharing
:type: url
:text: Conversational Agent with Tools (Langchain AGI)
:classes: stretched-link btn-lg
+++
Langchain AGI (23rd Dec 2022)
Docs refactor (#480)
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:
- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.
There is also a full reference section, as well as extra resources
(glossary, gallery, etc)
Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
1 year ago
Proprietary
-----------
.. panels ::
:body: text-center
---
.. link-button :: https://twitter.com/sjwhitmore/status/1580593217153531908?s=20&t=neQvtZZTlp623U3LZwz3bQ
:type: url
:text: Daimon
:classes: stretched-link btn-lg
+++
A chat-based AI personal assistant with long-term memory about you.
---
.. link-button :: https://twitter.com/dory111111/status/1608406234646052870?s=20&t=XYlrbKM0ornJsrtGa0br-g
:type: url
:text: AI Assisted SQL Query Generator
:classes: stretched-link btn-lg
+++
An app to write SQL using natural language, and execute against real DB.
---
.. link-button :: https://twitter.com/krrish_dh/status/1581028925618106368?s=20&t=neQvtZZTlp623U3LZwz3bQ
:type: url
:text: Clerkie
:classes: stretched-link btn-lg
+++
Stack Tracing QA Bot to help debug complex stack tracing (especially the ones that go multi-function/file deep).
---
.. link-button :: https://twitter.com/Raza_Habib496/status/1596880140490838017?s=20&t=6MqEQYWfSqmJwsKahjCVOA
:type: url
:text: Sales Email Writer
:classes: stretched-link btn-lg
+++
By Raza Habib, this demo utilizes LangChain + SerpAPI + HumanLoop to write sales emails. Give it a company name and a person, this application will use Google Search (via SerpAPI) to get more information on the company and the person, and then write them a sales message.
---
.. link-button :: https://twitter.com/chillzaza_/status/1592961099384905730?s=20&t=EhU8jl0KyCPJ7vE9Rnz-cQ
:type: url
:text: Question-Answering on a Web Browser
:classes: stretched-link btn-lg
+++
By Zahid Khawaja, this demo utilizes question answering to answer questions about a given website. A followup added this for `YouTube videos <https://twitter.com/chillzaza_/status/1593739682013220865?s=20&t=EhU8jl0KyCPJ7vE9Rnz-cQ> `_ , and then another followup added it for `Wikipedia <https://twitter.com/chillzaza_/status/1594847151238037505?s=20&t=EhU8jl0KyCPJ7vE9Rnz-cQ> `_ .
