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195 | https://python.langchain.com/docs/integrations/providers/clarifai | ProvidersMoreClarifaiOn this pageClarifaiClarifai 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 eco... |
196 | https://python.langchain.com/docs/integrations/providers/clearml_tracking | ProvidersMoreClearMLOn this pageClearMLClearML is a ML/DL development and production suite, it contains 5 main modules:Experiment Manager - Automagical experiment tracking, environments and resultsMLOps - Orchestration, Automation & Pipelines solution for ML/DL jobs (K8s / Cloud / bare-metal)Data-Management - Fully dif... |
197 | https://python.langchain.com/docs/integrations/providers/clickhouse | ProvidersMoreClickHouseOn this pageClickHouseClickHouse is the fast and resource efficient open-source database for real-time
apps and analytics with full SQL support and a wide range of functions to assist users in writing analytical queries.
It has data structures and distance search functions (like L2Distance) as we... |
198 | https://python.langchain.com/docs/integrations/providers/cnosdb | ProvidersMoreCnosDBOn this pageCnosDBCnosDB is an open source distributed time series database with high performance, high compression rate and high ease of use.Installation and Setuppip install cnos-connectorConnecting to CnosDBYou can connect to CnosDB using the SQLDatabase.from_cnosdb() method.Syntaxdef SQLDataba... |
199 | https://python.langchain.com/docs/integrations/providers/cohere | ProvidersMoreCohereOn this pageCohereCohere is a Canadian startup that provides natural language processing models
that help companies improve human-machine interactions.Installation and SetupInstall the Python SDK :pip install cohereGet a Cohere api key and set it as an environment variable (COHERE_API_KEY)LLMThere ... |
200 | https://python.langchain.com/docs/integrations/providers/college_confidential | ProvidersMoreCollege ConfidentialOn this pageCollege ConfidentialCollege Confidential gives information on 3,800+ colleges and universities.Installation and SetupThere isn't any special setup for it.Document LoaderSee a usage example.from langchain.document_loaders import CollegeConfidentialLoaderPreviousCohereNextCo... |
201 | https://python.langchain.com/docs/integrations/providers/comet_tracking | ProvidersMoreCometOn this pageCometIn this guide we will demonstrate how to track your Langchain Experiments, Evaluation Metrics, and LLM Sessions with Comet. Example Project: Comet with LangChainInstall Comet and Dependenciesimport sys{sys.executable} -m spacy download en_core_web_smInitialize Comet and Set your Cre... |
202 | https://python.langchain.com/docs/integrations/providers/confident | ProvidersMoreConfident AIOn this pageConfident AIDeepEval package for unit testing LLMs.
Using Confident, everyone can build robust language models through faster iterations
using both unit testing and integration testing. We provide support for each step in the iteration
from synthetic data creation to testing.Install... |
203 | https://python.langchain.com/docs/integrations/providers/confluence | ProvidersMoreConfluenceOn this pageConfluenceConfluence 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. Installation and Setuppip install atlassian-python-apiWe need to set up username/ap... |
204 | https://python.langchain.com/docs/integrations/providers/ctransformers | ProvidersMoreC TransformersOn this pageC TransformersThis page covers how to use the C Transformers library within LangChain.
It is broken into two parts: installation and setup, and then references to specific C Transformers wrappers.Installation and SetupInstall the Python package with pip install ctransformersDownl... |
205 | https://python.langchain.com/docs/integrations/providers/dashvector | ProvidersMoreDashVectorOn this pageDashVectorDashVector is a fully-managed vectorDB service that supports high-dimension dense and sparse vectors, real-time insertion and filtered search. It is built to scale automatically and can adapt to different application requirements. This document demonstrates to leverage Dash... |
206 | https://python.langchain.com/docs/integrations/providers/databricks | ProvidersMoreDatabricksOn this pageDatabricksThe Databricks Lakehouse Platform unifies data, analytics, and AI on one platform.Databricks embraces the LangChain ecosystem in various ways:Databricks connector for the SQLDatabase Chain: SQLDatabase.from_databricks() provides an easy way to query your data on Databricks t... |
207 | https://python.langchain.com/docs/integrations/providers/datadog | ProvidersMoreDatadog TracingOn this pageDatadog Tracingddtrace is a Datadog application performance monitoring (APM) library which provides an integration to monitor your LangChain application.Key features of the ddtrace integration for LangChain:Traces: Capture LangChain requests, parameters, prompt-completions, and h... |
208 | https://python.langchain.com/docs/integrations/providers/datadog_logs | ProvidersMoreDatadog LogsOn this pageDatadog LogsDatadog is a monitoring and analytics platform for cloud-scale applications.Installation and Setuppip install datadog_api_clientWe must initialize the loader with the Datadog API key and APP key, and we need to set up the query to extract the desired logs.Document Loade... |
209 | https://python.langchain.com/docs/integrations/providers/dataforseo | ProvidersMoreDataForSEOOn this pageDataForSEOThis page provides instructions on how to use the DataForSEO search APIs within LangChain.Installation and SetupGet a DataForSEO API Access login and password, and set them as environment variables (DATAFORSEO_LOGIN and DATAFORSEO_PASSWORD respectively). You can find it in ... |
210 | https://python.langchain.com/docs/integrations/providers/deepinfra | ProvidersMoreDeepInfraOn this pageDeepInfraThis page covers how to use the DeepInfra ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific DeepInfra wrappers.Installation and SetupGet your DeepInfra api key from this link here.Get an DeepInfra api key and set ... |
211 | https://python.langchain.com/docs/integrations/providers/deepsparse | ProvidersMoreDeepSparseOn this pageDeepSparseThis page covers how to use the DeepSparse inference runtime within LangChain.
It is broken into two parts: installation and setup, and then examples of DeepSparse usage.Installation and SetupInstall the Python package with pip install deepsparseChoose a SparseZoo model or ... |
212 | https://python.langchain.com/docs/integrations/providers/diffbot | ProvidersMoreDiffbotOn this pageDiffbotDiffbot is a service to read web pages. Unlike traditional web scraping tools,
Diffbot doesn't require any rules to read the content on a page.
It starts with computer vision, which classifies a page into one of 20 possible types. Content is then interpreted by a machine learning ... |
213 | https://python.langchain.com/docs/integrations/providers/dingo | ProvidersMoreDingoOn this pageDingoThis page covers how to use the Dingo ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Dingo wrappers.Installation and SetupInstall the Python SDK with pip install dingodbVectorStoreThere exists a wrapper around Dingo i... |
214 | https://python.langchain.com/docs/integrations/providers/discord | ProvidersMoreDiscordOn this pageDiscordDiscord is a VoIP and instant messaging social platform. Users have the ability to communicate
with voice calls, video calls, text messaging, media and files in private chats or as part of communities called
"servers". A server is a collection of persistent chat rooms and voice ch... |
215 | https://python.langchain.com/docs/integrations/providers/docarray | ProvidersMoreDocArrayOn this pageDocArrayDocArray is a library for nested, unstructured, multimodal data in transit,
including text, image, audio, video, 3D mesh, etc. It allows deep-learning engineers to efficiently process,
embed, search, recommend, store, and transfer multimodal data with a Pythonic API.Installation... |
216 | https://python.langchain.com/docs/integrations/providers/doctran | ProvidersMoreDoctranOn this pageDoctranDoctran is a python package. It uses LLMs and open source
NLP libraries to transform raw text into clean, structured, information-dense documents
that are optimized for vector space retrieval. You can think of Doctran as a black box where
messy strings go in and nice, clean, label... |
217 | https://python.langchain.com/docs/integrations/providers/docugami | ProvidersMoreDocugamiOn this pageDocugamiDocugami converts business documents into a Document XML Knowledge Graph, generating forests
of XML semantic trees representing entire documents. This is a rich representation that includes the semantic and
structural characteristics of various chunks in the document as an XML t... |
218 | https://python.langchain.com/docs/integrations/providers/duckdb | ProvidersMoreDuckDBOn this pageDuckDBDuckDB is an in-process SQL OLAP database management system.Installation and SetupFirst, you need to install duckdb python package.pip install duckdbDocument LoaderSee a usage example.from langchain.document_loaders import DuckDBLoaderPreviousDocugamiNextElasticsearchInstallation ... |
219 | https://python.langchain.com/docs/integrations/providers/elasticsearch | ProvidersMoreElasticsearchOn this pageElasticsearchElasticsearch is a distributed, RESTful search and analytics engine.
It provides a distributed, multi-tenant-capable full-text search engine with an HTTP web interface and schema-free
JSON documents.Installation and SetupThere are two ways to get started with Elastics... |
220 | https://python.langchain.com/docs/integrations/providers/epsilla | ProvidersMoreEpsillaOn this pageEpsillaThis page covers how to use Epsilla within LangChain.
It is broken into two parts: installation and setup, and then references to specific Epsilla wrappers.Installation and SetupInstall the Python SDK with pip/pip3 install pyepsillaWrappersVectorStoreThere exists a wrapper arou... |
221 | https://python.langchain.com/docs/integrations/providers/evernote | ProvidersMoreEverNoteOn this pageEverNoteEverNote 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.Installation and SetupFirst, you need to install lxml and htm... |
222 | https://python.langchain.com/docs/integrations/providers/facebook_chat | ProvidersMoreFacebook ChatOn this pageFacebook ChatMessenger is an American proprietary instant messaging app and
platform developed by Meta Platforms. Originally developed as Facebook Chat in 2008, the company revamped its
messaging service in 2010.Installation and SetupFirst, you need to install pandas python packag... |
223 | https://python.langchain.com/docs/integrations/providers/facebook_faiss | ProvidersMoreFacebook FaissOn this pageFacebook FaissFacebook AI Similarity Search (Faiss)
is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that
search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting
code for eva... |
224 | https://python.langchain.com/docs/integrations/providers/figma | ProvidersMoreFigmaOn this pageFigmaFigma is a collaborative web application for interface design.Installation and SetupThe Figma API requires an access token, node_ids, and a file key.The file key can be pulled from the URL. https://www.figma.com/file/{filekey}/sampleFilenameNode IDs are also available in the URL. Cl... |
225 | https://python.langchain.com/docs/integrations/providers/fireworks | ProvidersMoreFireworksOn this pageFireworksThis page covers how to use the Fireworks models within Langchain.Installation and SetupTo use the Fireworks model, you need to have a Fireworks API key. To generate one, sign up at app.fireworks.ai.Authenticate by setting the FIREWORKS_API_KEY environment variable.LLMFirewo... |
226 | https://python.langchain.com/docs/integrations/providers/flyte | ProvidersMoreFlyteOn this pageFlyteFlyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines.
It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform.The purpose of this notebook is to demonstrate the integration of a FlyteCallback in... |
227 | https://python.langchain.com/docs/integrations/providers/forefrontai | ProvidersMoreForefrontAIOn this pageForefrontAIThis page covers how to use the ForefrontAI ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific ForefrontAI wrappers.Installation and SetupGet an ForefrontAI api key and set it as an environment variable (FOREFR... |
228 | https://python.langchain.com/docs/integrations/providers/git | ProvidersMoreGitOn this pageGitGit 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.Installation and SetupFirst, you need to install GitPython python package.... |
229 | https://python.langchain.com/docs/integrations/providers/gitbook | ProvidersMoreGitBookOn this pageGitBookGitBook is a modern documentation platform where teams can document everything from products to internal knowledge bases and APIs.Installation and SetupThere isn't any special setup for it.Document LoaderSee a usage example.from langchain.document_loaders import GitbookLoaderPre... |
230 | https://python.langchain.com/docs/integrations/providers/golden | ProvidersMoreGoldenOn this pageGoldenGolden 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 entiti... |
231 | https://python.langchain.com/docs/integrations/providers/google_document_ai | ProvidersGoogleOn this pageGoogleAll functionality related to Google Cloud PlatformLLMsVertex AIAccess PaLM LLMs like text-bison and code-bison via Google Cloud.from langchain.llms import VertexAIModel GardenAccess PaLM and hundreds of OSS models via Vertex AI Model Garden.from langchain.llms import VertexAIModelGar... |
232 | https://python.langchain.com/docs/integrations/providers/google_serper | ProvidersMoreGoogle SerperOn this pageGoogle SerperThis 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.
It is broken into two parts: setup, and then references t... |
233 | https://python.langchain.com/docs/integrations/providers/gooseai | ProvidersMoreGooseAIOn this pageGooseAIThis page covers how to use the GooseAI ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific GooseAI wrappers.Installation and SetupInstall the Python SDK with pip install openaiGet your GooseAI api key from this link he... |
234 | https://python.langchain.com/docs/integrations/providers/gpt4all | ProvidersMoreGPT4AllOn this pageGPT4AllThis 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.Installation and SetupInstall the Python package with pip install pyllamacppDownload a GPT4All model and place it in... |
235 | https://python.langchain.com/docs/integrations/providers/graphsignal | ProvidersMoreGraphsignalOn this pageGraphsignalThis 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 analyt... |
236 | https://python.langchain.com/docs/integrations/providers/grobid | ProvidersMoreGrobidOn this pageGrobidGROBID is a machine learning library for extracting, parsing, and re-structuring raw documents.It is designed and expected to be used to parse academic papers, where it works particularly well.Note: if the articles supplied to Grobid are large documents (e.g. dissertations) exceedin... |
237 | https://python.langchain.com/docs/integrations/providers/gutenberg | ProvidersMoreGutenbergOn this pageGutenbergProject Gutenberg is an online library of free eBooks.Installation and SetupThere isn't any special setup for it.Document LoaderSee a usage example.from langchain.document_loaders import GutenbergLoaderPreviousGrobidNextHacker NewsInstallation and SetupDocument Loader |
238 | https://python.langchain.com/docs/integrations/providers/hacker_news | ProvidersMoreHacker NewsOn this pageHacker NewsHacker News (sometimes abbreviated as HN) is a social news
website focusing on computer science and entrepreneurship. It is run by the investment fund and startup
incubator Y Combinator. In general, content that can be submitted is defined as "anything that gratifies
one's... |
239 | https://python.langchain.com/docs/integrations/providers/hazy_research | ProvidersMoreHazy ResearchOn this pageHazy ResearchThis page covers how to use the Hazy Research ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Hazy Research wrappers.Installation and SetupTo use the manifest, install it with pip install manifest-mlWrap... |
240 | https://python.langchain.com/docs/integrations/providers/helicone | ProvidersMoreHeliconeOn this pageHeliconeThis page covers how to use the Helicone ecosystem within LangChain.What is Helicone?Helicone is an open source observability platform that proxies your OpenAI traffic and provides you key insights into your spend, latency and usage.Quick startWith your LangChain environment y... |
241 | https://python.langchain.com/docs/integrations/providers/hologres | ProvidersMoreHologresOn this pageHologresHologres 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.
Hologres supports standard SQL syntax, is compatible with PostgreSQL, and supports most PostgreSQL... |
242 | https://python.langchain.com/docs/integrations/providers/html2text | ProvidersMoreHTML to textOn this pageHTML to texthtml2text is a Python package that converts a page of HTML into clean, easy-to-read plain ASCII text. The ASCII also happens to be a valid Markdown (a text-to-HTML format).Installation and Setuppip install html2textDocument TransformerSee a usage example.from langchain... |
243 | https://python.langchain.com/docs/integrations/providers/huggingface | ProvidersMoreHugging FaceOn this pageHugging FaceThis page covers how to use the Hugging Face ecosystem (including the Hugging Face Hub) within LangChain.
It is broken into two parts: installation and setup, and then references to specific Hugging Face wrappers.Installation and SetupIf you want to work with the Huggin... |
244 | https://python.langchain.com/docs/integrations/providers/ifixit | ProvidersMoreiFixitOn this pageiFixitiFixit is the largest, open repair community on the web. The site contains nearly 100k
repair manuals, 200k Questions & Answers on 42k devices, and all the data is licensed under CC-BY-NC-SA 3.0.Installation and SetupThere isn't any special setup for it.Document LoaderSee a usage ... |
245 | https://python.langchain.com/docs/integrations/providers/imsdb | ProvidersMoreIMSDbOn this pageIMSDbIMSDb is the Internet Movie Script Database.Installation and SetupThere isn't any special setup for it.Document LoaderSee a usage example.from langchain.document_loaders import IMSDbLoaderPreviousiFixitNextInfinoDocument Loader |
246 | https://python.langchain.com/docs/integrations/providers/infino | ProvidersMoreInfinoOn this pageInfinoInfino is an open-source observability platform that stores both metrics and application logs together.Key features of Infino include:Metrics Tracking: Capture time taken by LLM model to handle request, errors, number of tokens, and costing indication for the particular LLM.Data Tra... |
247 | https://python.langchain.com/docs/integrations/providers/javelin_ai_gateway | ProvidersMoreJavelin AI GatewayOn this pageJavelin AI GatewayThe Javelin AI Gateway service is a high-performance, enterprise grade API Gateway for AI applications.
It is designed to streamline the usage and access of various large language model (LLM) providers,
such as OpenAI, Cohere, Anthropic and custom large langu... |
248 | https://python.langchain.com/docs/integrations/providers/jina | ProvidersMoreJinaOn this pageJinaThis page covers how to use the Jina ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Jina wrappers.Installation and SetupInstall the Python SDK with pip install jinaGet a Jina AI Cloud auth token from here and set it as a... |
249 | https://python.langchain.com/docs/integrations/providers/konko | ProvidersMoreKonkoOn this pageKonkoThis page covers how to run models on Konko within LangChain.Konko API is a fully managed API designed to help application developers:Select the right LLM(s) for their application
Prototype with various open-source and proprietary LLMs
Move to production in-line with their security, p... |
250 | https://python.langchain.com/docs/integrations/providers/lancedb | ProvidersMoreLanceDBOn this pageLanceDBThis page covers how to use LanceDB within LangChain.
It is broken into two parts: installation and setup, and then references to specific LanceDB wrappers.Installation and SetupInstall the Python SDK with pip install lancedbWrappersVectorStoreThere exists a wrapper around Lanc... |
251 | https://python.langchain.com/docs/integrations/providers/langchain_decorators | ProvidersMoreLangChain Decorators ✨On this pageLangChain Decorators ✨lanchchain decorators is a layer on the top of LangChain that provides syntactic sugar 🍭 for writing custom langchain prompts and chainsFor Feedback, Issues, Contributions - please raise an issue here:
ju-bezdek/langchain-decoratorsMain principles an... |
252 | https://python.langchain.com/docs/integrations/providers/llamacpp | ProvidersMoreLlama.cppOn this pageLlama.cppThis page covers how to use llama.cpp within LangChain.
It is broken into two parts: installation and setup, and then references to specific Llama-cpp wrappers.Installation and SetupInstall the Python package with pip install llama-cpp-pythonDownload one of the supported mode... |
253 | https://python.langchain.com/docs/integrations/providers/log10 | ProvidersMoreLog10On this pageLog10This page covers how to use the Log10 within LangChain.What is Log10?Log10 is an open source proxiless LLM data management and application development platform that lets you log, debug and tag your Langchain calls.Quick startCreate your free account at log10.ioAdd your LOG10_TOKEN a... |
254 | https://python.langchain.com/docs/integrations/providers/marqo | ProvidersMoreMarqoOn this pageMarqoThis page covers how to use the Marqo ecosystem within LangChain.What is Marqo?Marqo is a tensor search engine that uses embeddings stored in in-memory HNSW indexes to achieve cutting edge search speeds. Marqo can scale to hundred-million document indexes with horizontal index shardi... |
255 | https://python.langchain.com/docs/integrations/providers/mediawikidump | ProvidersMoreMediaWikiDumpOn this pageMediaWikiDumpMediaWiki XML Dumps contain the content of a wiki
(wiki pages with all their revisions), without the site-related data. A XML dump does not create a full backup
of the wiki database, the dump does not contain user accounts, images, edit logs, etc.Installation and Setup... |
256 | https://python.langchain.com/docs/integrations/providers/meilisearch | ProvidersMoreMeilisearchOn this pageMeilisearchMeilisearch is an open-source, lightning-fast, and hyper
relevant search engine.
It comes with great defaults to help developers build snappy search experiences. You can self-host Meilisearch
or run on Meilisearch Cloud.Meilisearch v1.3 supports vector search.Installation ... |
257 | https://python.langchain.com/docs/integrations/providers/metal | ProvidersMoreMetalOn this pageMetalThis page covers how to use Metal within LangChain.What is Metal?Metal is a managed retrieval & memory platform built for production. Easily index your data into Metal and run semantic search and retrieval on it.Quick startGet started by creating a Metal account.Then, you can easil... |
258 | https://python.langchain.com/docs/integrations/providers/milvus | ProvidersMoreMilvusOn this pageMilvusMilvus is a database that stores, indexes, and manages
massive embedding vectors generated by deep neural networks and other machine learning (ML) models.Installation and SetupInstall the Python SDK:pip install pymilvusVector StoreThere exists a wrapper around Milvus indexes, allo... |
259 | https://python.langchain.com/docs/integrations/providers/minimax | ProvidersMoreMinimaxOn this pageMinimaxMinimax is a Chinese startup that provides natural language processing models
for companies and individuals.Installation and SetupGet a Minimax api key and set it as an environment variable (MINIMAX_API_KEY)
Get a Minimax group id and set it as an environment variable (MINIMAX_GR... |
260 | https://python.langchain.com/docs/integrations/providers/mlflow_ai_gateway | ProvidersMoreMLflow AI GatewayOn this pageMLflow AI GatewayThe 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 interact... |
261 | https://python.langchain.com/docs/integrations/providers/mlflow_tracking | ProvidersMoreMLflowOn this pageMLflowMLflow is a versatile, expandable, open-source platform for managing workflows and artifacts across the machine learning lifecycle. It has built-in integrations with many popular ML libraries, but can be used with any library, algorithm, or deployment tool. It is designed to be exte... |
262 | https://python.langchain.com/docs/integrations/providers/modal | ProvidersMoreModalOn this pageModalThis page covers how to use the Modal ecosystem to run LangChain custom LLMs.
It is broken into two parts: Modal installation and web endpoint deploymentUsing deployed web endpoint with LLM wrapper class.Installation and SetupInstall with pip install modalRun modal token newDefine yo... |
263 | https://python.langchain.com/docs/integrations/providers/modelscope | ProvidersMoreModelScopeOn this pageModelScopeModelScope is a big repository of the models and datasets.This page covers how to use the modelscope ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific modelscope wrappers.Installation and SetupInstall the models... |
264 | https://python.langchain.com/docs/integrations/providers/modern_treasury | ProvidersMoreModern TreasuryOn this pageModern TreasuryModern Treasury simplifies complex payment operations. It is a unified platform to power products and processes that move money.Connect to banks and payment systemsTrack transactions and balances in real-timeAutomate payment operations for scaleInstallation and Set... |
265 | https://python.langchain.com/docs/integrations/providers/momento | ProvidersMoreMomentoOn this pageMomentoMomento Cache is the world's first truly serverless caching service, offering instant elasticity, scale-to-zero
capability, and blazing-fast performance.Momento Vector Index stands out as the most productive, easiest-to-use, fully serverless vector index.For both services, simply ... |
266 | https://python.langchain.com/docs/integrations/providers/mongodb_atlas | ProvidersMoreMongoDB AtlasOn this pageMongoDB AtlasMongoDB Atlas is a fully-managed cloud
database available in AWS, Azure, and GCP. It now has support for native
Vector Search on the MongoDB document data.Installation and SetupSee detail configuration instructions.We need to install pymongo python package.pip instal... |
267 | https://python.langchain.com/docs/integrations/providers/motherduck | ProvidersMoreMotherduckOn this pageMotherduckMotherduck is a managed DuckDB-in-the-cloud service.Installation and SetupFirst, you need to install duckdb python package.pip install duckdbYou will also need to sign up for an account at MotherduckAfter that, you should set up a connection string - we mostly integrate wit... |
268 | https://python.langchain.com/docs/integrations/providers/motorhead | ProvidersMoreMotörheadOn this pageMotörheadMotörhead is a memory server implemented in Rust. It automatically handles incremental summarization in the background and allows for stateless applications.Installation and SetupSee instructions at Motörhead for running the server locally.MemorySee a usage example.from lang... |
269 | https://python.langchain.com/docs/integrations/providers/myscale | ProvidersMoreMyScaleOn this pageMyScaleThis page covers how to use MyScale vector database within LangChain.
It is broken into two parts: installation and setup, and then references to specific MyScale wrappers.With MyScale, you can manage both structured and unstructured (vectorized) data, and perform joint queries an... |
270 | https://python.langchain.com/docs/integrations/providers/neo4j | ProvidersMoreNeo4jOn this pageNeo4jThis page covers how to use the Neo4j ecosystem within LangChain.What is Neo4j?Neo4j in a nutshell:Neo4j is an open-source database management system that specializes in graph database technology.Neo4j allows you to represent and store data in nodes and edges, making it ideal for hand... |
271 | https://python.langchain.com/docs/integrations/providers/nlpcloud | ProvidersMoreNLPCloudOn this pageNLPCloudNLP Cloud is an artificial intelligence platform that allows you to use the most advanced AI engines, and even train your own engines with your own data. Installation and SetupInstall the nlpcloud package.pip install nlpcloudGet an NLPCloud api key and set it as an environment ... |
272 | https://python.langchain.com/docs/integrations/providers/notion | ProvidersMoreNotion DBOn this pageNotion DBNotion is a collaboration platform with modified Markdown support that integrates kanban
boards, tasks, wikis and databases. It is an all-in-one workspace for notetaking, knowledge and data management,
and project and task management.Installation and SetupAll instructions are... |
273 | https://python.langchain.com/docs/integrations/providers/nuclia | ProvidersMoreNucliaOn this pageNucliaNuclia automatically indexes your unstructured data from any internal
and external source, providing optimized search results and generative answers.
It can handle video and audio transcription, image content extraction, and document parsing.Nuclia Understanding API document transfo... |
274 | https://python.langchain.com/docs/integrations/providers/obsidian | ProvidersMoreObsidianOn this pageObsidianObsidian is a powerful and extensible knowledge base
that works on top of your local folder of plain text files.Installation and SetupAll instructions are in examples below.Document LoaderSee a usage example.from langchain.document_loaders import ObsidianLoaderPreviousNucliaNe... |
275 | https://python.langchain.com/docs/integrations/providers/openllm | ProvidersMoreOpenLLMOn this pageOpenLLMThis page demonstrates how to use OpenLLM
with LangChain.OpenLLM is an open platform for operating large language models (LLMs) in
production. It enables developers to easily run inference with any open-source
LLMs, deploy to the cloud or on-premises, and build powerful AI apps.In... |
276 | https://python.langchain.com/docs/integrations/providers/opensearch | ProvidersMoreOpenSearchOn this pageOpenSearchThis page covers how to use the OpenSearch ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific OpenSearch wrappers.Installation and SetupInstall the Python package with pip install opensearch-pyWrappersVectorStor... |
277 | https://python.langchain.com/docs/integrations/providers/openweathermap | ProvidersMoreOpenWeatherMapOn this pageOpenWeatherMapOpenWeatherMap provides all essential weather data for a specific location:Current weatherMinute forecast for 1 hourHourly forecast for 48 hoursDaily forecast for 8 daysNational weather alertsHistorical weather data for 40+ years backThis page covers how to use the O... |
278 | https://python.langchain.com/docs/integrations/providers/petals | ProvidersMorePetalsOn this pagePetalsThis page covers how to use the Petals ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Petals wrappers.Installation and SetupInstall with pip install petalsGet a Hugging Face api key and set it as an environment varia... |
279 | https://python.langchain.com/docs/integrations/providers/pg_embedding | ProvidersMorePostgres EmbeddingOn this pagePostgres Embeddingpg_embedding is an open-source package for
vector similarity search using Postgres and the Hierarchical Navigable Small Worlds
algorithm for approximate nearest neighbor search.Installation and SetupWe need to install several python packages.pip install open... |
280 | https://python.langchain.com/docs/integrations/providers/pgvector | ProvidersMorePGVectorOn this pagePGVectorThis page covers how to use the Postgres PGVector ecosystem within LangChain
It is broken into two parts: installation and setup, and then references to specific PGVector wrappers.InstallationInstall the Python package with pip install pgvectorSetupThe first step is to create ... |
281 | https://python.langchain.com/docs/integrations/providers/pinecone | ProvidersMorePineconeOn this pagePineconePinecone is a vector database with broad functionality.Installation and SetupInstall the Python SDK:pip install pinecone-clientVector storeThere exists a wrapper around Pinecone indexes, allowing you to use it as a vectorstore,
whether for semantic search or example selection.... |
282 | https://python.langchain.com/docs/integrations/providers/pipelineai | ProvidersMorePipelineAIOn this pagePipelineAIThis page covers how to use the PipelineAI ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific PipelineAI wrappers.Installation and SetupInstall with pip install pipeline-aiGet a Pipeline Cloud api key and set it ... |
283 | https://python.langchain.com/docs/integrations/providers/portkey/ | ProvidersMorePortkeyOn this pagePortkeyPortkey is a platform designed to streamline the deployment
and management of Generative AI applications.
It provides comprehensive features for monitoring, managing models,
and improving the performance of your AI applications.LLMOps for LangchainPortkey brings production readin... |
284 | https://python.langchain.com/docs/integrations/providers/portkey/logging_tracing_portkey | ProvidersMorePortkeyLog, Trace, and MonitorOn this pageLog, Trace, and MonitorWhen building apps or agents using Langchain, you end up making multiple API calls to fulfill a single user request. However, these requests are not chained when you want to analyse them. With Portkey, all the embeddings, completion, and othe... |
285 | https://python.langchain.com/docs/integrations/providers/predibase | ProvidersMorePredibaseOn this pagePredibaseLearn how to use LangChain with models on Predibase. SetupCreate a Predibase account and API key.Install the Predibase Python client with pip install predibaseUse your API key to authenticateLLMPredibase integrates with LangChain by implementing LLM module. You can see a sho... |
286 | https://python.langchain.com/docs/integrations/providers/predictionguard | ProvidersMorePrediction GuardOn this pagePrediction GuardThis page covers how to use the Prediction Guard ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Prediction Guard wrappers.Installation and SetupInstall the Python SDK with pip install predictiongu... |
287 | https://python.langchain.com/docs/integrations/providers/promptlayer | ProvidersMorePromptLayerOn this pagePromptLayerThis page covers how to use PromptLayer within LangChain.
It is broken into two parts: installation and setup, and then references to specific PromptLayer wrappers.Installation and SetupIf you want to work with PromptLayer:Install the promptlayer python library pip instal... |
288 | https://python.langchain.com/docs/integrations/providers/psychic | ProvidersMorePsychicOn this pagePsychicPsychic is a platform for integrating with SaaS tools like Notion, Zendesk,
Confluence, and Google Drive via OAuth and syncing documents from these applications to your SQL or vector
database. You can think of it like Plaid for unstructured data. Installation and Setuppip install... |
289 | https://python.langchain.com/docs/integrations/providers/pubmed | ProvidersMorePubMedOn this pagePubMedPubMedPubMed® by The National Center for Biotechnology Information, National Library of Medicine
comprises more than 35 million citations for biomedical literature from MEDLINE, life science journals, and online books.
Citations may include links to full text content from PubMed Cen... |
290 | https://python.langchain.com/docs/integrations/providers/qdrant | ProvidersMoreQdrantOn this pageQdrantQdrant (read: quadrant) is a vector similarity search engine.
It provides a production-ready service with a convenient API to store, search, and manage
points - vectors with an additional payload. Qdrant is tailored to extended filtering support.Installation and SetupInstall the Py... |
291 | https://python.langchain.com/docs/integrations/providers/ray_serve | ProvidersMoreRay ServeOn this pageRay ServeRay 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. Goal of this noteb... |
292 | https://python.langchain.com/docs/integrations/providers/rebuff | ProvidersMoreRebuffOn this pageRebuffRebuff is a self-hardening prompt injection detector.
It is designed to protect AI applications from prompt injection (PI) attacks through a multi-stage defense.HomepagePlaygroundDocsGitHub RepositoryInstallation and Setup# !pip3 install rebuff openai -UREBUFF_API_KEY = "" # Use p... |
293 | https://python.langchain.com/docs/integrations/providers/reddit | ProvidersMoreRedditOn this pageRedditReddit is an American social news aggregation, content rating, and discussion website.Installation and SetupFirst, you need to install a python package.pip install prawMake a Reddit Application and initialize the loader with your Reddit API credentials.Document LoaderSee a usage e... |
294 | https://python.langchain.com/docs/integrations/providers/redis | ProvidersMoreRedisOn this pageRedisRedis (Remote Dictionary Server) is an open-source in-memory storage,
used as a distributed, in-memory key–value database, cache and message broker, with optional durability.
Because it holds all data in memory and because of its design, Redis offers low-latency reads and writes,
maki... |
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