Grouped by provider

📄️ WandB Tracing

There are two recommended ways to trace your LangChains:

📄️ AI21 Labs

This page covers how to use the AI21 ecosystem within LangChain.

📄️ Aim

Aim makes it super easy to visualize and debug LangChain executions. Aim tracks inputs and outputs of LLMs and tools, as well as actions of agents.

📄️ Airbyte

Airbyte is a data integration platform for ELT pipelines from APIs,

📄️ Airtable

Airtable is a cloud collaboration service.

Aleph Alpha was founded in 2019 with the mission to research and build the foundational technology for an era of strong AI. The team of international scientists, engineers, and innovators researches, develops, and deploys transformative AI like large language and multimodal models and runs the fastest European commercial AI cluster.

📄️ Alibaba Cloud Opensearch

Alibaba Cloud Opensearch OpenSearch is a one-stop platform to develop intelligent search services. OpenSearch was built based on the large-scale distributed search engine developed by Alibaba. OpenSearch serves more than 500 business cases in Alibaba Group and thousands of Alibaba Cloud customers. OpenSearch helps develop search services in different search scenarios, including e-commerce, O2O, multimedia, the content industry, communities and forums, and big data query in enterprises.

📄️ Amazon API Gateway

Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. APIs act as the "front door" for applications to access data, business logic, or functionality from your backend services. Using API Gateway, you can create RESTful APIs and WebSocket APIs that enable real-time two-way communication applications. API Gateway supports containerized and serverless workloads, as well as web applications.

📄️ AnalyticDB

This page covers how to use the AnalyticDB ecosystem within LangChain.

📄️ Annoy

Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with Python bindings to search for points in space that are close to a given query point. It also creates large read-only file-based data structures that are mmapped into memory so that many processes may share the same data.

📄️ Anyscale

This page covers how to use the Anyscale ecosystem within LangChain.

📄️ Apify

This page covers how to use Apify within LangChain.

📄️ ArangoDB

ArangoDB is a scalable graph database system to drive value from connected data, faster. Native graphs, an integrated search engine, and JSON support, via a single query language. ArangoDB runs on-prem, in the cloud – anywhere.

📄️ Argilla

Argilla - Open-source data platform for LLMs

📄️ Arthur

Arthur is a model monitoring and observability platform.

📄️ Arxiv

arXiv is an open-access archive for 2 million scholarly articles in the fields of physics,

📄️ AtlasDB

This page covers how to use Nomic's Atlas ecosystem within LangChain.

📄️ AwaDB

AwaDB is an AI Native database for the search and storage of embedding vectors used by LLM Applications.

📄️ AWS S3 Directory

Amazon Simple Storage Service (Amazon S3) is an object storage service.

📄️ AZLyrics

AZLyrics is a large, legal, every day growing collection of lyrics.

📄️ Azure Blob Storage

Azure Blob Storage is Microsoft's object storage solution for the cloud. Blob Storage is optimized for storing massive amounts of unstructured data. Unstructured data is data that doesn't adhere to a particular data model or definition, such as text or binary data.

📄️ Azure Cognitive Search

Azure Cognitive Search (formerly known as Azure Search) is a cloud search service that gives developers infrastructure, APIs, and tools for building a rich search experience over private, heterogeneous content in web, mobile, and enterprise applications.

📄️ Azure OpenAI

Microsoft Azure, often referred to as Azure is a cloud computing platform run by Microsoft, which offers access, management, and development of applications and services through global data centers. It provides a range of capabilities, including software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). Microsoft Azure supports many programming languages, tools, and frameworks, including Microsoft-specific and third-party software and systems.

📄️ Banana

This page covers how to use the Banana ecosystem within LangChain.

📄️ Baseten

Learn how to use LangChain with models deployed on Baseten.

📄️ Beam

This page covers how to use Beam within LangChain.

📄️ Bedrock

Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available via an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.

📄️ BiliBili

Bilibili is one of the most beloved long-form video sites in China.

📄️ Blackboard

Blackboard Learn (previously the Blackboard Learning Management System)

📄️ Brave Search

Brave Search is a search engine developed by Brave Software.

📄️ Cassandra

Apache Cassandra® is a free and open-source, distributed, wide-column

📄️ CerebriumAI

This page covers how to use the CerebriumAI ecosystem within LangChain.

📄️ Chaindesk

Chaindesk is an open source document retrieval platform that helps to connect your personal data with Large Language Models.

📄️ Chroma

Chroma is a database for building AI applications with embeddings.

📄️ Clarifai

Clarifai is one of first deep learning platforms having been founded in 2013. Clarifai provides an AI platform with the full AI lifecycle for data exploration, data labeling, model training, evaluation and inference around images, video, text and audio data. In the LangChain ecosystem, as far as we're aware, Clarifai is the only provider that supports LLMs, embeddings and a vector store in one production scale platform, making it an excellent choice to operationalize your LangChain implementations.

📄️ ClearML

ClearML is a ML/DL development and production suite, it contains 5 main modules:

📄️ CnosDB

CnosDB is an open source distributed time series database with high performance, high compression rate and high ease of use.

📄️ Cohere

Cohere is a Canadian startup that provides natural language processing models

📄️ College Confidential

College Confidential gives information on 3,800+ colleges and universities.

📄️ Comet

In this guide we will demonstrate how to track your Langchain Experiments, Evaluation Metrics, and LLM Sessions with Comet.

📄️ Confluence

Confluence is a wiki collaboration platform that saves and organizes all of the project-related material. Confluence is a knowledge base that primarily handles content management activities.

📄️ C Transformers

This page covers how to use the C Transformers library within LangChain.

📄️ Databricks

This notebook covers how to connect to the Databricks runtimes and Databricks SQL using the SQLDatabase wrapper of LangChain.

📄️ Datadog Tracing

ddtrace is a Datadog application performance monitoring (APM) library which provides an integration to monitor your LangChain application.

📄️ Datadog Logs

Datadog is a monitoring and analytics platform for cloud-scale applications.

📄️ DataForSEO

This page provides instructions on how to use the DataForSEO search APIs within LangChain.

📄️ DeepInfra

This page covers how to use the DeepInfra ecosystem within LangChain.

📄️ Deep Lake

This page covers how to use the Deep Lake ecosystem within LangChain.

📄️ Diffbot

Diffbot is a service to read web pages. Unlike traditional web scraping tools,

📄️ Discord

Discord is a VoIP and instant messaging social platform. Users have the ability to communicate

📄️ Docugami

Docugami converts business documents into a Document XML Knowledge Graph, generating forests

📄️ DuckDB

DuckDB is an in-process SQL OLAP database management system.

📄️ Elasticsearch

Elasticsearch is a distributed, RESTful search and analytics engine.

📄️ EverNote

EverNote is intended for archiving and creating notes in which photos, audio and saved web content can be embedded. Notes are stored in virtual "notebooks" and can be tagged, annotated, edited, searched, and exported.

📄️ Facebook Chat

Messenger) is an American proprietary instant messaging app and

📄️ Figma

Figma is a collaborative web application for interface design.

📄️ Flyte

Flyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines.

📄️ ForefrontAI

This page covers how to use the ForefrontAI ecosystem within LangChain.

📄️ Git

Git is a distributed version control system that tracks changes in any set of computer files, usually used for coordinating work among programmers collaboratively developing source code during software development.

📄️ GitBook

GitBook is a modern documentation platform where teams can document everything from products to internal knowledge bases and APIs.

📄️ Golden

Golden provides a set of natural language APIs for querying and enrichment using the Golden Knowledge Graph e.g. queries such as: Products from OpenAI, Generative ai companies with series a funding, and rappers who invest can be used to retrieve structured data about relevant entities.

📄️ Google BigQuery

Google BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

📄️ Google Cloud Storage

Google Cloud Storage is a managed service for storing unstructured data.

📄️ Google Drive

Google Drive is a file storage and synchronization service developed by Google.

📄️ Google Search

This page covers how to use the Google Search API within LangChain.

📄️ Google Serper

This page covers how to use the Serper Google Search API within LangChain. Serper is a low-cost Google Search API that can be used to add answer box, knowledge graph, and organic results data from Google Search.

📄️ GooseAI

This page covers how to use the GooseAI ecosystem within LangChain.

📄️ GPT4All

This page covers how to use the GPT4All wrapper within LangChain. The tutorial is divided into two parts: installation and setup, followed by usage with an example.

📄️ Graphsignal

This page covers how to use Graphsignal to trace and monitor LangChain. Graphsignal enables full visibility into your application. It provides latency breakdowns by chains and tools, exceptions with full context, data monitoring, compute/GPU utilization, OpenAI cost analytics, and more.

📄️ Grobid

This page covers how to use the Grobid to parse articles for LangChain.

📄️ Gutenberg

Project Gutenberg is an online library of free eBooks.

📄️ Hacker News

Hacker News (sometimes abbreviated as HN) is a social news

📄️ Hazy Research

This page covers how to use the Hazy Research ecosystem within LangChain.

📄️ Helicone

This page covers how to use the Helicone ecosystem within LangChain.

📄️ Hologres

Hologres is a unified real-time data warehousing service developed by Alibaba Cloud. You can use Hologres to write, update, process, and analyze large amounts of data in real time.

📄️ Hugging Face

This page covers how to use the Hugging Face ecosystem (including the Hugging Face Hub) within LangChain.

📄️ iFixit

iFixit is the largest, open repair community on the web. The site contains nearly 100k

📄️ IMSDb

IMSDb is the Internet Movie Script Database.

📄️ Infino

Infino is an open-source observability platform that stores both metrics and application logs together.

📄️ Jina

This page covers how to use the Jina ecosystem within LangChain.

📄️ LanceDB

This page covers how to use LanceDB within LangChain.

📄️ LangChain Decorators ✨

lanchchain decorators is a layer on the top of LangChain that provides syntactic sugar 🍭 for writing custom langchain prompts and chains

📄️ Llama.cpp

This page covers how to use llama.cpp within LangChain.

📄️ Marqo

This page covers how to use the Marqo ecosystem within LangChain.

📄️ MediaWikiDump

MediaWiki XML Dumps contain the content of a wiki

📄️ Metal

This page covers how to use Metal within LangChain.

📄️ Microsoft OneDrive

Microsoft OneDrive (formerly SkyDrive) is a file-hosting service operated by Microsoft.

📄️ Microsoft PowerPoint

Microsoft PowerPoint is a presentation program by Microsoft.

📄️ Microsoft Word

Microsoft Word is a word processor developed by Microsoft.

📄️ Milvus

This page covers how to use the Milvus ecosystem within LangChain.

📄️ MLflow AI Gateway

The MLflow AI Gateway service is a powerful tool designed to streamline the usage and management of various large language model (LLM) providers, such as OpenAI and Anthropic, within an organization. It offers a high-level interface that simplifies the interaction with these services by providing a unified endpoint to handle specific LLM related requests. See the MLflow AI Gateway documentation for more details.

📄️ MLflow

This notebook goes over how to track your LangChain experiments into your MLflow Server

📄️ Modal

This page covers how to use the Modal ecosystem to run LangChain custom LLMs.

📄️ ModelScope

This page covers how to use the modelscope ecosystem within LangChain.

📄️ Modern Treasury

Modern Treasury simplifies complex payment operations. It is a unified platform to power products and processes that move money.

📄️ Momento

Momento Cache is the world's first truly serverless caching service. It provides instant elasticity, scale-to-zero

📄️ Motherduck

Motherduck is a managed DuckDB-in-the-cloud service.

📄️ MyScale

This page covers how to use MyScale vector database within LangChain.

📄️ NLPCloud

This page covers how to use the NLPCloud ecosystem within LangChain.

📄️ Notion DB

Notion is a collaboration platform with modified Markdown support that integrates kanban

📄️ Obsidian

Obsidian is a powerful and extensible knowledge base

📄️ OpenAI

OpenAI is American artificial intelligence (AI) research laboratory

📄️ OpenLLM

This page demonstrates how to use OpenLLM

📄️ OpenSearch

This page covers how to use the OpenSearch ecosystem within LangChain.

📄️ OpenWeatherMap

OpenWeatherMap provides all essential weather data for a specific location:

📄️ Petals

This page covers how to use the Petals ecosystem within LangChain.

📄️ PGVector

This page covers how to use the Postgres PGVector ecosystem within LangChain

📄️ Pinecone

This page covers how to use the Pinecone ecosystem within LangChain.

📄️ PipelineAI

This page covers how to use the PipelineAI ecosystem within LangChain.

🗃️ Portkey

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📄️ Predibase

Learn how to use LangChain with models on Predibase.

📄️ Prediction Guard

This page covers how to use the Prediction Guard ecosystem within LangChain.

📄️ PromptLayer

This page covers how to use PromptLayer within LangChain.

📄️ Psychic

Psychic is a platform for integrating with SaaS tools like Notion, Zendesk,

📄️ Qdrant

This page covers how to use the Qdrant ecosystem within LangChain.

📄️ Ray Serve

Ray Serve is a scalable model serving library for building online inference APIs. Serve is particularly well suited for system composition, enabling you to build a complex inference service consisting of multiple chains and business logic all in Python code.

📄️ Rebuff

Rebuff is a self-hardening prompt injection detector.

📄️ Reddit

Reddit is an American social news aggregation, content rating, and discussion website.

📄️ Redis

This page covers how to use the Redis ecosystem within LangChain.

📄️ Replicate

This page covers how to run models on Replicate within LangChain.

📄️ Roam

ROAM is a note-taking tool for networked thought, designed to create a personal knowledge base.

📄️ Rockset

Rockset is a real-time analytics database service for serving low latency, high concurrency analytical queries at scale. It builds a Converged Index™ on structured and semi-structured data with an efficient store for vector embeddings. Its support for running SQL on schemaless data makes it a perfect choice for running vector search with metadata filters.

📄️ Runhouse

This page covers how to use the Runhouse ecosystem within LangChain.

📄️ RWKV-4

This page covers how to use the RWKV-4 wrapper within LangChain.

📄️ SageMaker Endpoint

Amazon SageMaker is a system that can build, train, and deploy machine learning (ML) models with fully managed infrastructure, tools, and workflows.

📄️ SearxNG Search API

This page covers how to use the SearxNG search API within LangChain.

📄️ SerpAPI

This page covers how to use the SerpAPI search APIs within LangChain.

📄️ Shale Protocol

Shale Protocol provides production-ready inference APIs for open LLMs. It's a Plug & Play API as it's hosted on a highly scalable GPU cloud infrastructure.

📄️ SingleStoreDB

SingleStoreDB is a high-performance distributed SQL database that supports deployment both in the cloud and on-premises. It provides vector storage, and vector functions including dotproduct and euclideandistance, thereby supporting AI applications that require text similarity matching.

📄️ scikit-learn

scikit-learn is an open source collection of machine learning algorithms,

📄️ Slack

Slack is an instant messaging program.

📄️ spaCy

spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython.

📄️ Spreedly

Spreedly is a service that allows you to securely store credit cards and use them to transact against any number of payment gateways and third party APIs. It does this by simultaneously providing a card tokenization/vault service as well as a gateway and receiver integration service. Payment methods tokenized by Spreedly are stored at Spreedly, allowing you to independently store a card and then pass that card to different end points based on your business requirements.

📄️ StarRocks

StarRocks is a High-Performance Analytical Database.

📄️ StochasticAI

This page covers how to use the StochasticAI ecosystem within LangChain.

📄️ Stripe

Stripe is an Irish-American financial services and software as a service (SaaS) company. It offers payment-processing software and application programming interfaces for e-commerce websites and mobile applications.

📄️ Tair

This page covers how to use the Tair ecosystem within LangChain.

📄️ Telegram

Telegram Messenger is a globally accessible freemium, cross-platform, encrypted, cloud-based and centralized instant messaging service. The application also provides optional end-to-end encrypted chats and video calling, VoIP, file sharing and several other features.

📄️ Tigris

Tigris is an open source Serverless NoSQL Database and Search Platform designed to simplify building high-performance vector search applications.

📄️ 2Markdown

2markdown service transforms website content into structured markdown files.

📄️ Trello

Trello is a web-based project management and collaboration tool that allows individuals and teams to organize and track their tasks and projects. It provides a visual interface known as a "board" where users can create lists and cards to represent their tasks and activities.

📄️ TruLens

This page covers how to use TruLens to evaluate and track LLM apps built on langchain.

📄️ Twitter

Twitter is an online social media and social networking service.

📄️ Typesense

Typesense is an open source, in-memory search engine, that you can either

📄️ Unstructured

The unstructured package from

🗃️ Vectara

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📄️ Vespa

Vespa is a fully featured search engine and vector database.

📄️ Weights & Biases

This notebook goes over how to track your LangChain experiments into one centralized Weights and Biases dashboard. To learn more about prompt engineering and the callback please refer to this Report which explains both alongside the resultant dashboards you can expect to see.

📄️ Weather

OpenWeatherMap is an open source weather service provider.

📄️ Weaviate

This page covers how to use the Weaviate ecosystem within LangChain.

📄️ WhatsApp

WhatsApp (also called WhatsApp Messenger) is a freeware, cross-platform, centralized instant messaging (IM) and voice-over-IP (VoIP) service. It allows users to send text and voice messages, make voice and video calls, and share images, documents, user locations, and other content.

📄️ WhyLabs

WhyLabs is an observability platform designed to monitor data pipelines and ML applications for data quality regressions, data drift, and model performance degradation. Built on top of an open-source package called whylogs, the platform enables Data Scientists and Engineers to:

📄️ Wikipedia

Wikipedia is a multilingual free online encyclopedia written and maintained by a community of volunteers, known as Wikipedians, through open collaboration and using a wiki-based editing system called MediaWiki. Wikipedia is the largest and most-read reference work in history.