connectors & integrations: 147 curated resources
connectors & integrations
147 resources · page 4 of 5
Docs by LangChain
by LangChain
LangChain documentation home covering LangChain, LangGraph and LangSmith for building and evaluating agents.
Lelapa / Vulavula documentation
by Lelapa AI
Lelapa AI Vulavula documentation: speech-to-text and translation API for isiZulu, Sesotho, Afrikaans and other languages.
Linear Docs
by Linear
Linear documentation: guide to the issue-tracking tool's features, including its AI and agent integrations.
Linear Docs: Start Guide
by Linear
Linear start guide for setting up a workspace and working with teams and agents.
Linear Developers: Interaction Best Practices
by Linear
Linear developer guide on interaction best practices for agents that work inside Linear.
Lovable Documentation
by Lovable
Lovable documentation: platform for building and deploying web apps from natural-language prompts.
Make developer documentation
by Make
Make developer hub with documentation for building custom apps and integrations on the Make automation platform.
Make AI Agent (New) best practices
by Make
Make Help Center best practices for designing AI agents: tools, prompts and testing.
n8n Docs: Advanced AI
by n8n
n8n documentation on AI workflows with LLM providers, agents, tools, memory and MCP servers.
n8n Docs
by n8n
n8n documentation: setting up n8n, building workflows and integrating apps.
AI Workflow Builder Best Practices (n8n)
by n8n
n8n post on best practices for its AI Workflow Builder, which turns natural-language prompts into workflows.
n8n Integrations
by n8n
n8n integrations directory listing apps and services that can be connected in n8n workflows.
How to write great AI prompts (Notion)
by Notion
Notion blog guide on writing effective AI prompts for non-engineers.
Notion AI
by Notion
Notion AI product page: search, generation, analysis and agents inside Notion.
Notion AI FAQs
by Notion
Notion Help Center FAQ explaining Notion AI features.
Pinecone learn
by Pinecone
Pinecone Learn: tutorials on vector databases, embeddings, retrieval and RAG with code.
Pipedream apps
by Pipedream
Pipedream apps directory: managed auth, actions, triggers and MCP tools for over 3,000 APIs.
Pipedream documentation
by Pipedream
Pipedream documentation: adding thousands of API integrations to apps and automating event-driven workflows.
Raycast store (AI extensions)
by Raycast
Raycast Store: directory of extensions for the Raycast launcher, including AI extensions.
Replit Docs
by Replit
Replit documentation for its browser IDE and AI agent that builds and deploys apps.
Welcome to Replit (Replit Docs)
by Replit
Replit documentation welcome page introducing its AI agent, workspace and deployment features.
Effective prompting with Replit AI
by Replit
Replit guide to effective prompting for Replit Agent, with principles and examples.
Roo Code docs: Customizing Modes
by Roomote
Roo Code documentation on custom modes with tool access and file permission restrictions.
Selectel blog: When to use external models and when self-hosted
by Selectel
Selectel post (in Russian) on when to use external model APIs versus self-hosted models such as GLM in production.
Shopify Dev: AI and agents
by Shopify
Shopify documentation on exposing app data and actions to AI agents in the Shopify admin and beyond.
Sierra blog
by Sierra
Sierra blog with news and posts on building conversational AI agents for customer experience.
Sourcegraph Cody documentation
by Sourcegraph
Sourcegraph Cody documentation: AI coding assistant using repository-wide code context.
Stripe blog
by Stripe
Stripe blog with product, engineering and business posts, including AI payment and agent commerce features.
Stripe docs: AI and agents
by Stripe
Stripe documentation on AI and agents: MCP server, agent skills, agentic commerce and usage-based billing (shown in German).
Supabase Docs: AI & Vectors
by Supabase
Supabase AI and vectors guide: storing embeddings and running vector search in Postgres with pgvector.
Unstructured documentation
by Unstructured
Unstructured documentation: tools for parsing, partitioning and extracting structured data from documents for AI pipelines.
Builders Guide to the AI SDK (Vercel Academy)
by Vercel
Vercel Academy course on building AI features with the AI SDK and Next.js: prompting, extraction and streaming.