📄️ AINetwork
AI Network is a layer 1 blockchain designed to accommodate large-scale AI models, utilizing a decentralized GPU network powered by the $AIN token, enriching AI-driven NFTs (AINFTs).
📄️ Airbyte Question Answering
This notebook shows how to do question answering over structured data, in this case using the AirbyteStripeLoader.
📄️ Amadeus
This notebook walks you through connecting LangChain to the Amadeus travel APIs.
📄️ Azure AI Services
This toolkit is used to interact with the Azure AI Services API to achieve some multimodal capabilities.
📄️ Azure Cognitive Services
This toolkit is used to interact with the Azure Cognitive Services API to achieve some multimodal capabilities.
📄️ Cassandra Database
Apache Cassandra® is a widely used database for storing transactional application data. The introduction of functions and tooling in Large Language Models has opened up some exciting use cases for existing data in Generative AI applications. The Cassandra Database toolkit enables AI engineers to efficiently integrate Agents with Cassandra data, offering the following features:
📄️ ClickUp
ClickUp is an all-in-one productivity platform that provides small and large teams across industries with flexible and customizable work management solutions, tools, and functions.
📄️ cogniswitch
Cogniswitch Tools
📄️ Connery Toolkit
Using this toolkit, you can integrate Connery Actions into your LangChain agent.
📄️ CSV
This notebook shows how to use agents to interact with data in CSV format. It is mostly optimized for question answering.
📄️ Github
The Github toolkit contains tools that enable an LLM agent to interact with a github repository.
📄️ Gitlab
The Gitlab toolkit contains tools that enable an LLM agent to interact with a gitlab repository.
📄️ Gmail
This notebook walks through connecting a LangChain email to the Gmail API.
📄️ Jira
This notebook goes over how to use the Jira toolkit.
📄️ JSON
This notebook showcases an agent interacting with large JSON/dict objects.
📄️ MultiOn
MultiON has built an AI Agent that can interact with a broad array of web services and applications.
📄️ NASA
This notebook shows how to use agents to interact with the NASA toolkit. The toolkit provides access to the NASA Image and Video Library API, with potential to expand and include other accessible NASA APIs in future iterations.
📄️ Office365
Microsoft 365 is a product family of productivity software, collaboration and cloud-based services owned by Microsoft.
📄️ OpenAPI
We can construct agents to consume arbitrary APIs, here APIs conformant to the OpenAPI/Swagger specification.
📄️ Natural Language APIs
Natural Language API Toolkits (NLAToolkits) permit LangChain Agents to efficiently plan and combine calls across endpoints.
📄️ Pandas Dataframe
This notebook shows how to use agents to interact with a Pandas DataFrame. It is mostly optimized for question answering.
📄️ PlayWright Browser
This toolkit is used to interact with the browser. While other tools (like the Requests tools) are fine for static sites, PlayWright Browser toolkits let your agent navigate the web and interact with dynamically rendered sites.
📄️ Polygon IO Toolkit
This notebook shows how to use agents to interact with the Polygon IO toolkit. The toolkit provides access to Polygon's Stock Market Data API.
📄️ PowerBI Dataset
This notebook showcases an agent interacting with a Power BI Dataset. The agent is answering more general questions about a dataset, as well as recover from errors.
📄️ Python
This notebook showcases an agent designed to write and execute Python code to answer a question.
📄️ Robocorp
This notebook covers how to get started with Robocorp Action Server action toolkit and LangChain.
📄️ Slack
This notebook walks through connecting LangChain to your Slack account.
📄️ Spark Dataframe
This notebook shows how to use agents to interact with a Spark DataFrame and Spark Connect. It is mostly optimized for question answering.
📄️ Spark SQL
This notebook shows how to use agents to interact with Spark SQL. Similar to SQL Database Agent, it is designed to address general inquiries about Spark SQL and facilitate error recovery.
📄️ SQL Database
This notebook showcases an agent designed to interact with a SQL databases.
📄️ Steam Game Recommendation & Game Details
Steam (Wikipedia)) is a video game digital distribution service and storefront developed by Valve Corporation. It provides game updates automatically for Valve's games, and expanded to distributing third-party titles. Steam offers various features, like game server matchmaking with Valve Anti-Cheat measures, social networking, and game streaming services.
📄️ Xorbits
This notebook shows how to use agents to interact with Xorbits Pandas dataframe and Xorbits Numpy ndarray. It is mostly optimized for question answering.