Langchain-Cohere This package contains the LangChain integrations for Cohere. Cohere empowers every developer and enterprise to build amazing products and capture true business value with language AI. Installation Install the langchain-cohere package: pip install langchain-cohere Get a Cohere API key and set it as an environment variable (COHERE_API_KEY) Migration from langchain-community Cohere's integrations used to be part of the langchain-community package, but since version 0.0.30 the integration in langchain-community has been deprecated in favour langchain-cohere. The two steps to migrate are: Import from langchain_cohere instead of langchain_community, for example: from langchain_community.chat_models import ChatCohere -> from langchain_cohere import ChatCohere from langchain_community.retrievers import CohereRagRetriever -> from langchain_cohere import CohereRagRetriever from langchain.embeddings import CohereEmbeddings -> from langchain_cohere import CohereEmbeddings

Langchain-Cohere This package contains the LangChain integrations for Cohere. Cohere empowers every developer and enterprise to build amazing products and capture true business value with language AI. Installation Install the langchain-cohere package: pip install langchain-cohere Get a Cohere API key and set it as an environment variable (COHERE_API_KEY) Migration from langchain-community Cohere's integrations used to be part of the langchain-community package, but since version 0.0.30 the integration in langchain-community has been deprecated in favour langchain-cohere. The two steps to migrate are: Import from langchain_cohere instead of langchain_community, for example: from langchain_community.chat_models import ChatCohere -> from langchain_cohere import ChatCohere from langchain_community.retrievers import CohereRagRetriever -> from langchain_cohere import CohereRagRetriever from langchain.embeddings import CohereEmbeddings -> from langchain_cohere import CohereEmbeddings

🦜️🧑‍🤝‍🧑 LangChain Community What is it? LangChain Community contains third-party integrations that implement the base interfaces defined in LangChain Core, making them ready-to-use in any LangChain application.

🦜️🧑‍🤝‍🧑 LangChain Community What is it? LangChain Community contains third-party integrations that implement the base interfaces defined in LangChain Core, making them ready-to-use in any LangChain application.

🦜🍎️ LangChain Core What is it? LangChain Core contains the base abstractions that power the rest of the LangChain ecosystem. These abstractions are designed to be as modular and simple as possible. Examples of these abstractions include those for language models, document loaders, embedding models, vectorstores, retrievers, and more. The benefit of having these abstractions is that any provider can implement the required interface and then easily be used in the rest of the LangChain ecosystem. For full documentation see the API reference. 1️⃣ Core Interface: Runnables The concept of a Runnable is central to LangChain Core – it is the interface that most LangChain Core components implement, giving them a common invocation interface (invoke, batch, stream, etc.) built-in utilities for retries, fallbacks, schemas and runtime configurability easy deployment with LangServe

langchain-deepseek This package contains the LangChain integration with the DeepSeek API Installation pip install -U langchain-deepseek And you should configure credentials by setting the following environment variables: DEEPSEEK_API_KEY Chat Models ChatDeepSeek class exposes chat models from DeepSeek. from langchain_deepseek import ChatDeepSeek llm = ChatDeepSeek(model="deepseek-chat") llm.invoke("Sing a ballad of LangChain.")

langchain-deepseek This package contains the LangChain integration with the DeepSeek API Installation pip install -U langchain-deepseek And you should configure credentials by setting the following environment variables: DEEPSEEK_API_KEY Chat Models ChatDeepSeek class exposes chat models from DeepSeek. from langchain_deepseek import ChatDeepSeek llm = ChatDeepSeek(model="deepseek-chat") llm.invoke("Sing a ballad of LangChain.")

LangChain-Fireworks This is the partner package for tying Fireworks.ai and LangChain. Fireworks really strive to provide good support for LangChain use cases, so if you run into any issues please let us know. You can reach out to us in our Discord channel Installation To use the langchain-fireworks package, follow these installation steps: pip install langchain-fireworks Basic usage Setting up Sign in to Fireworks AI to obtain an API Key to access the models, and make sure it is set as the FIREWORKS_API_KEY environment variable. Once you've signed in and obtained an API key, follow these steps to set the FIREWORKS_API_KEY environment variable: Linux/macOS: Open your terminal and execute the following command: export FIREWORKS_API_KEY='your_api_key' Note: To make this environment variable persistent across terminal sessions, add the above line to your ~/.bashrc, ~/.bash_profile, or ~/.zshrc file. Windows: For Command Prompt, use: set FIREWORKS_API_KEY=your_api_key Set up your

Langchain Google Calendar Tools This repo walks through connecting to the Google Calendar API. Installation pip install langchain-google-calendar-tools For local development: pip install -e . How to use Create a Google Cloud project and enable Google Calendar API. To get Oauth credentials for the Desktop app, please refer https:/developers.google.com/calendar/api/guides/overview for detail. Download the credentials file to ./notebooks and rename it to credentials.json. If you want to keep its original file name, please replace the value of client_secrets_file in demo.ipynb with the valid path which points to the credentials file. Run this notebook to perform the listed functions Limitations Due to the short development time, some of the following parts have not been completed and will be improved in the future: Timezone: Currently being fixed to Vietnam's timezone, it will be taken from the user's Calendar or the system in the future Update recurring events: has not been implemen

Langchain Google Calendar Tools This repo walks through connecting to the Google Calendar API. Installation pip install langchain-google-calendar-tools For local development: pip install -e . How to use Create a Google Cloud project and enable Google Calendar API. To get Oauth credentials for the Desktop app, please refer https:/developers.google.com/calendar/api/guides/overview for detail. Download the credentials file to ./notebooks and rename it to credentials.json. If you want to keep its original file name, please replace the value of client_secrets_file in demo.ipynb with the valid path which points to the credentials file. Run this notebook to perform the listed functions Limitations Due to the short development time, some of the following parts have not been completed and will be improved in the future: Timezone: Currently being fixed to Vietnam's timezone, it will be taken from the user's Calendar or the system in the future Update recurring events: has not been implemen