# VectorShift

## Docs

- [Enterprise Connections](https://docs.vectorshift.ai/account/organizations/enterprise-connections.md): Connect your Organization to your existing enterprise authentication system
- [Overview](https://docs.vectorshift.ai/account/organizations/overview.md): Collaborate with your team in real-time with fine-grained access controls
- [Profile](https://docs.vectorshift.ai/account/profile.md): Manage your personal account settings
- [Organization Subscriptions](https://docs.vectorshift.ai/account/subscriptions/organization.md): Manage organization-level subscriptions and billing
- [Overview](https://docs.vectorshift.ai/account/subscriptions/overview.md): Enhance VectorShift's capabilities with a subscription
- [Personal Subscriptions](https://docs.vectorshift.ai/account/subscriptions/personal.md): Manage your subscription for your personal account
- [Create a new chatbot](https://docs.vectorshift.ai/api-reference/chatbots/create.md)
- [Delete a chatbot](https://docs.vectorshift.ai/api-reference/chatbots/delete.md)
- [Fetch an existing chatbot](https://docs.vectorshift.ai/api-reference/chatbots/fetch.md)
- [List all available chatbots](https://docs.vectorshift.ai/api-reference/chatbots/list.md)
- [Run a chatbot](https://docs.vectorshift.ai/api-reference/chatbots/run.md)
- [Terminate a chatbot session](https://docs.vectorshift.ai/api-reference/chatbots/terminate.md)
- [Upload files to a chatbot](https://docs.vectorshift.ai/api-reference/chatbots/upload.md)
- [Create a knowledge base](https://docs.vectorshift.ai/api-reference/knowledge-bases/create.md)
- [Delete a knowledge base](https://docs.vectorshift.ai/api-reference/knowledge-bases/delete.md)
- [Delete documents from a knowledge base](https://docs.vectorshift.ai/api-reference/knowledge-bases/delete-documents.md)
- [Fetch an existing knowledge base](https://docs.vectorshift.ai/api-reference/knowledge-bases/fetch.md)
- [Find documents in a knowledge base](https://docs.vectorshift.ai/api-reference/knowledge-bases/find-documents.md)
- [Add data to a knowledge base](https://docs.vectorshift.ai/api-reference/knowledge-bases/index.md)
- [List all available knowledge bases](https://docs.vectorshift.ai/api-reference/knowledge-bases/list.md)
- [Query a knowledge base](https://docs.vectorshift.ai/api-reference/knowledge-bases/query.md)
- [Overview](https://docs.vectorshift.ai/api-reference/overview.md): Get started with the VectorShift API
- [Run a pipeline in bulk](https://docs.vectorshift.ai/api-reference/pipelines/bulk-run.md): Execute multiple instances of the same pipeline in parallel
- [Create a new pipeline](https://docs.vectorshift.ai/api-reference/pipelines/create.md): Create a new pipeline with the specified configuration
- [Delete a pipeline](https://docs.vectorshift.ai/api-reference/pipelines/delete.md): Delete a pipeline by ID
- [Fetch an existing pipeline](https://docs.vectorshift.ai/api-reference/pipelines/fetch.md): Retrieve a pipeline by ID or name
- [List all available pipelines](https://docs.vectorshift.ai/api-reference/pipelines/list.md)
- [Pause a pipeline run](https://docs.vectorshift.ai/api-reference/pipelines/pause.md): Pause a currently running pipeline instance
- [Resume a paused pipeline run](https://docs.vectorshift.ai/api-reference/pipelines/resume.md): Resume one or more paused pipeline instances
- [Run a pipeline](https://docs.vectorshift.ai/api-reference/pipelines/run.md): Execute a pipeline with the specified inputs and configuration
- [Terminate a pipeline run](https://docs.vectorshift.ai/api-reference/pipelines/terminate.md): Stop a currently running pipeline instance
- [Create a new transformation](https://docs.vectorshift.ai/api-reference/transformations/create.md)
- [Delete a transformation](https://docs.vectorshift.ai/api-reference/transformations/delete.md)
- [Fetch an existing transformation](https://docs.vectorshift.ai/api-reference/transformations/fetch.md)
- [List all available transformations](https://docs.vectorshift.ai/api-reference/transformations/list.md)
- [Run a transformation](https://docs.vectorshift.ai/api-reference/transformations/run.md)
- [Introduction](https://docs.vectorshift.ai/introduction.md): Build generative AI apps and workflow automations in minutes
- [Agent Node](https://docs.vectorshift.ai/nodes/agent/overview.md): Run an existing agent as a sub-agent within your workflows or as a tool inside another agent.
- [AI Routing](https://docs.vectorshift.ai/nodes/ai-routing/overview.md): Route execution flow to different paths using AI-powered message classification.
- [Anthropic LLM](https://docs.vectorshift.ai/nodes/anthropic/overview.md): Generate text responses using Anthropic's Claude models in your workflows.
- [AWS Bedrock LLM](https://docs.vectorshift.ai/nodes/aws-bedrock/overview.md): Generate text responses using AWS Bedrock models in your workflows.
- [Browser Extension](https://docs.vectorshift.ai/nodes/browser-extension/overview.md): Run a VectorShift workflow using the current page captured by the VectorShift Chrome Extension as input.
- [Chat File Reader](https://docs.vectorshift.ai/nodes/chat-file-reader/overview.md): Allow document uploads within chatbots and process uploaded files into text for downstream use.
- [Chat Memory](https://docs.vectorshift.ai/nodes/chat-memory/overview.md): Give connected nodes access to conversation history for multi-turn chatbot interactions.
- [Code](https://docs.vectorshift.ai/nodes/code/overview.md): Execute custom Python or JavaScript code with configurable inputs and outputs.
- [Cohere LLM](https://docs.vectorshift.ai/nodes/cohere/overview.md): Generate text responses using Cohere's Command models in your workflows.
- [Condition](https://docs.vectorshift.ai/nodes/condition/overview.md): Branch workflow execution based on conditional logic with support for multiple paths and operators.
- [Create Knowledge Base](https://docs.vectorshift.ai/nodes/create-knowledge-base/overview.md): Dynamically create a new knowledge base with configured chunking, embedding, and processing options.
- [Create Session](https://docs.vectorshift.ai/nodes/create-session/overview.md): Create a new session with an agent and participants from within a workflow.
- [Create Workspace](https://docs.vectorshift.ai/nodes/create-workspace/overview.md): Create a new portal workspace, upload files, and share access with users.
- [Custom LLM](https://docs.vectorshift.ai/nodes/custom/overview.md): Connect to any OpenAI-compatible model provider or locally hosted LLM in your workflows.
- [Data Collector](https://docs.vectorshift.ai/nodes/data-collector/overview.md): Collect structured information from chatbot users by defining fields and auto-generating questions.
- [Deep Research](https://docs.vectorshift.ai/nodes/deep-research/overview.md): Perform advanced AI research and analysis with specialized deep research models.
- [File Save](https://docs.vectorshift.ai/nodes/file-save/overview.md): Save files to the VectorShift platform's Files tab for persistent storage.
- [File](https://docs.vectorshift.ai/nodes/file/overview.md): Load a static file into a workflow as a raw file or process it into text.
- [Get Run Data](https://docs.vectorshift.ai/nodes/get-run-data/overview.md): Fetch run metrics including trace, latency, cost, tokens, and status for a session.
- [Google LLM](https://docs.vectorshift.ai/nodes/google/overview.md): Generate text responses using Google's Gemini models in your workflows.
- [Image to Image](https://docs.vectorshift.ai/nodes/image-to-image/overview.md): Modify and edit images using AI models in your workflows and agents.
- [Image to Text](https://docs.vectorshift.ai/nodes/image-to-text/overview.md): Analyze images and generate text descriptions using AI models in your workflows and agents.
- [Input](https://docs.vectorshift.ai/nodes/input/overview.md): Pass data of different types into your workflow as an entry point for execution.
- [Knowledge Base Agent](https://docs.vectorshift.ai/nodes/knowledge-base-agent/overview.md): Query a knowledge base using an agentic approach that intelligently determines the best retrieval strategy.
- [Knowledge Base Fetch Document Content](https://docs.vectorshift.ai/nodes/knowledge-base-fetch-document-content/overview.md): Fetch the full content of a specific document from a knowledge base by reading through all its chunks.
- [Knowledge Base Fetch Items](https://docs.vectorshift.ai/nodes/knowledge-base-fetch-items/overview.md): List and navigate knowledge base items (folders and documents) with traversal, filtering, and output shaping capabilities.
- [Knowledge Base Loader](https://docs.vectorshift.ai/nodes/knowledge-base-loader/overview.md): Load files or URLs into an existing knowledge base for indexing and retrieval.
- [Knowledge Base Reader](https://docs.vectorshift.ai/nodes/knowledge-base-v3/overview.md): Query a knowledge base with semantic search to retrieve relevant content for workflows and agents.
- [Listen — Button](https://docs.vectorshift.ai/nodes/listen-button/overview.md): Present users with clickable buttons during a conversation and wait for their selection.
- [Listen — Capture](https://docs.vectorshift.ai/nodes/listen-capture/overview.md): Pause the conversation and wait for the user to respond, storing their message for downstream use.
- [Merge - Join All](https://docs.vectorshift.ai/nodes/merge-join-all/overview.md): Recombine multiple conditional paths into a single list output by joining all input values.
- [Merge - Pick First](https://docs.vectorshift.ai/nodes/merge-pick-first/overview.md): Recombine multiple conditional paths by selecting the first available input value.
- [Note](https://docs.vectorshift.ai/nodes/note/overview.md): Add rich-text sticky notes to the workflow canvas for documentation and annotation.
- [Open Source LLM](https://docs.vectorshift.ai/nodes/open-source/overview.md): Generate text responses using open-source models from Together AI in your workflows.
- [OpenAI LLM](https://docs.vectorshift.ai/nodes/openai/overview.md): Generate text responses using OpenAI's GPT models in your workflows.
- [Output](https://docs.vectorshift.ai/nodes/output/overview.md): Output data of different types from your workflow as the final result of execution.
- [Perplexity LLM](https://docs.vectorshift.ai/nodes/perplexity/overview.md): Generate text responses with built-in web search using Perplexity's Sonar models in your workflows.
- [Post Message](https://docs.vectorshift.ai/nodes/post-message/overview.md): Post a message to an active chat session programmatically from within a workflow.
- [Read Session Messages](https://docs.vectorshift.ai/nodes/read-session-messages/overview.md): Read all messages from an agent session with filtering, pagination, and derived metadata.
- [Semantic Search](https://docs.vectorshift.ai/nodes/semantic-search/overview.md): Generate a temporary vector database at runtime and retrieve the most relevant content from documents based on a query.
- [Set Variable](https://docs.vectorshift.ai/nodes/set-variable/overview.md): Set a pipeline variable to a new value or expression during workflow execution.
- [Speech to Text](https://docs.vectorshift.ai/nodes/speech-to-text/overview.md): Transcribe audio to text using AI models in your workflows and agents.
- [Start](https://docs.vectorshift.ai/nodes/start-node/overview.md): Define the entry point for conversational workflows that use Talk and Listen nodes.
- [Sync Knowledge Base](https://docs.vectorshift.ai/nodes/sync-knowledge-base/overview.md): Trigger a sync to re-process all documents and integrations in a knowledge base.
- [Talk — Card](https://docs.vectorshift.ai/nodes/talk-card/overview.md): Send a rich card with image, title, description, and button in a conversational workflow.
- [Talk — Carousel](https://docs.vectorshift.ai/nodes/talk-carousel/overview.md): Send a gallery of multiple cards in a conversational workflow for users to browse.
- [Talk — Image](https://docs.vectorshift.ai/nodes/talk-image/overview.md): Send an image to the user at a specific step in a conversational workflow.
- [Talk — Message](https://docs.vectorshift.ai/nodes/talk-message/overview.md): Send a text message to the user at a specific step in a conversational workflow.
- [Text to Image](https://docs.vectorshift.ai/nodes/text-to-image/overview.md): Generate images from text descriptions using AI models in your workflows and agents.
- [Text to Speech](https://docs.vectorshift.ai/nodes/text-to-speech/overview.md): Convert text to audio using AI voice models in your workflows and agents.
- [Trigger](https://docs.vectorshift.ai/nodes/trigger/overview.md): Automatically run pipelines when external events occur across your connected integrations.
- [Workflow Node](https://docs.vectorshift.ai/nodes/workflow/overview.md): Run an existing workflow (pipeline) as a sub-step within another workflow or as a tool inside an agent.
- [xAI LLM](https://docs.vectorshift.ai/nodes/xai/overview.md): Generate text responses using xAI's Grok models in your workflows.
- [Agent Instructions](https://docs.vectorshift.ai/platform/agents/agent-instructions.md): Define your Agent's role, behavior, tone, and task scope
- [Agent Tools](https://docs.vectorshift.ai/platform/agents/agent-tools.md): Add, configure, and manage the tools your Agent can use
- [AI Model](https://docs.vectorshift.ai/platform/agents/ai-model.md): Choose the language model and configure advanced settings for your Agent
- [@ Tag References](https://docs.vectorshift.ai/platform/agents/at-tag-references.md): Directly reference tools, knowledge bases, and other resources in the chat
- [Build an Agent](https://docs.vectorshift.ai/platform/agents/build-an-agent.md): Create a new Agent from scratch, orient yourself in the builder, and build your first working Agent step by step
- [Test and Deploy](https://docs.vectorshift.ai/platform/agents/chat-preview.md): Test your Agent in the builder preview and deploy it as a chatbot
- [Customize Your Agent](https://docs.vectorshift.ai/platform/agents/interface-tab.md): Configure the chatbot interface, appearance, security, and deployment integrations
- [Agents](https://docs.vectorshift.ai/platform/agents/introduction.md): Build intelligent, conversational AI assistants that reason, remember context, and take actions autonomously
- [Knowledge Base](https://docs.vectorshift.ai/platform/agents/knowledge-base.md): Give your Agent persistent knowledge that stays available throughout every session
- [Monitor Your Agent](https://docs.vectorshift.ai/platform/agents/manager-tab.md): View session and message analytics, and access individual conversation logs
- [Save and Version](https://docs.vectorshift.ai/platform/agents/saving-and-versioning.md): Auto-save, manual save, and version history for your Agent
- [Session Memory](https://docs.vectorshift.ai/platform/agents/session-memory.md): Control whether your Agent retains context across a conversation
- [Share with Teammates](https://docs.vectorshift.ai/platform/agents/sharing.md): Invite teammates to view or edit your Agent project
- [Tips and Best Practices](https://docs.vectorshift.ai/platform/agents/tips.md): Guidelines for building effective, reliable Agents
- [Files](https://docs.vectorshift.ai/platform/files.md): Upload and manage files
- [Agentic Chatbot](https://docs.vectorshift.ai/platform/interfaces/chatbots/agentic.md): Build an autonomous chatbot powered by a VectorShift Agent
- [Chat analytics](https://docs.vectorshift.ai/platform/interfaces/chatbots/analytics.md): Track performance, review traces, and manage conversations from the Analytics and Manager tabs
- [Chat via API](https://docs.vectorshift.ai/platform/interfaces/chatbots/api.md): Integrate chatbot functionality into your own application using the REST API
- [Chat Assistant](https://docs.vectorshift.ai/platform/interfaces/chatbots/assistant.md): Deploy a full-page chat experience and customize it to match your brand
- [Chat Assistant vs Website Chatbot](https://docs.vectorshift.ai/platform/interfaces/chatbots/assistant-vs-website.md): Understand the two display templates and when to use each one
- [Overview](https://docs.vectorshift.ai/platform/interfaces/chatbots/overview.md): Turn any Agent or pipeline into a conversational interface your users can chat with
- [Deploy to Slack](https://docs.vectorshift.ai/platform/interfaces/chatbots/slack.md): Let your team chat with the bot directly in your Slack workspace
- [Website Chatbot](https://docs.vectorshift.ai/platform/interfaces/chatbots/website.md): Embed a chat widget on your website and customize it to match your brand
- [Deploy via WhatsApp and SMS](https://docs.vectorshift.ai/platform/interfaces/chatbots/whatsapp.md): Connect your chatbot to WhatsApp or SMS through Twilio
- [Workflow chatbot](https://docs.vectorshift.ai/platform/interfaces/chatbots/workflow.md): Build a chatbot backed by a step-by-step pipeline you define
- [Additional Features](https://docs.vectorshift.ai/platform/interfaces/forms/additional-features.md): Download outputs and chat with your workflow after a form submission
- [Tracking Performance](https://docs.vectorshift.ai/platform/interfaces/forms/analytics.md): Read your analytics and understand how your form and workflow are performing
- [Building Your First Form](https://docs.vectorshift.ai/platform/interfaces/forms/building.md): Create a workflow, attach a form interface, and get your form live step by step
- [Overview](https://docs.vectorshift.ai/platform/interfaces/forms/overview.md): What forms are, when to use them, and what you will find in this guide
- [Personalizing Your Form](https://docs.vectorshift.ai/platform/interfaces/forms/personalizing.md): Customize the layout, styling, security, and editing experience of your form
- [Sharing Your Form](https://docs.vectorshift.ai/platform/interfaces/forms/sharing.md): Share the link, embed on your site, publish to the marketplace, deploy to portals, and more
- [Reviewing Submissions](https://docs.vectorshift.ai/platform/interfaces/forms/submissions.md): View and manage what people have submitted through the Manager tab
- [Overview](https://docs.vectorshift.ai/platform/interfaces/overview.md): Deploy chatbots, search engines, and more to your users
- [Search](https://docs.vectorshift.ai/platform/interfaces/search.md): Build a custom search engine over your knowledge bases
- [Voicebots](https://docs.vectorshift.ai/platform/interfaces/voicebots.md): Interact with your pipelines in real-time using voice
- [Adding Data to Your Knowledge Base](https://docs.vectorshift.ai/platform/knowledge/adding-data.md): Bring in your content from anywhere — files, integrations, URLs, and tables — so your team can search it all in one place
- [Accessing the API](https://docs.vectorshift.ai/platform/knowledge/api.md): Add knowledge base search to your own apps, backends, or automations with ready-to-use code snippets
- [Configuring Metadata on an Existing Knowledge Base](https://docs.vectorshift.ai/platform/knowledge/configure-metadata.md): Improve search filtering and organization by adding or updating auto-generated metadata at any time
- [Creating a New Knowledge Base](https://docs.vectorshift.ai/platform/knowledge/creating.md): Get started in minutes — name your knowledge base, choose how documents are processed, and optionally set up auto-generated metadata
- [Monitoring Usage with the Manager Tab](https://docs.vectorshift.ai/platform/knowledge/manager-tab.md): Understand how your search is being used — track sessions, query trends, and identify content gaps
- [Managing Documents](https://docs.vectorshift.ai/platform/knowledge/managing-documents.md): Keep your knowledge base healthy — track indexing status, organize content, and fine-tune how individual documents are processed
- [Overview](https://docs.vectorshift.ai/platform/knowledge/overview.md): Turn your documents, files, and live data into an AI-powered search experience
- [Reference](https://docs.vectorshift.ai/platform/knowledge/reference.md): Quick lookup for supported formats, models, splitter methods, statuses, and integrations
- [Using the Search Experience](https://docs.vectorshift.ai/platform/knowledge/search-experience.md): Ask questions in plain language and get AI-generated answers with source citations — instantly
- [Setting Up the Search Interface](https://docs.vectorshift.ai/platform/knowledge/search-interface.md): Build a branded, AI-powered search experience your team or customers can start using right away
- [Knowledge Base Settings](https://docs.vectorshift.ai/platform/knowledge/settings.md): Improve search quality by adjusting how your knowledge base processes and indexes documents
- [Sharing a Knowledge Base](https://docs.vectorshift.ai/platform/knowledge/sharing.md): Give your team access to the knowledge bases they need — with the right level of control
- [Chat File Reader Node](https://docs.vectorshift.ai/platform/pipelines/chat/chat-file-reader.md): Allows for document uploads within chatbots
- [Chat Memory Node](https://docs.vectorshift.ai/platform/pipelines/chat/chat-memory.md): Retrieve previous conversation history
- [Data Collector Node](https://docs.vectorshift.ai/platform/pipelines/chat/data-collector.md): Allows a chatbot to collect information
- [Button Node](https://docs.vectorshift.ai/platform/pipelines/conversational/listen/button.md): Allows user to choose between clickable buttons at a given step in a conversation
- [Capture Node](https://docs.vectorshift.ai/platform/pipelines/conversational/listen/capture.md): Pauses the conversation and waits for the user to respond in chat
- [Card Node](https://docs.vectorshift.ai/platform/pipelines/conversational/talk/card.md): Displays a card to the user at a given step in the conversation
- [Carousel Node](https://docs.vectorshift.ai/platform/pipelines/conversational/talk/carousel.md): Displays a carousel to the user
- [Image Node](https://docs.vectorshift.ai/platform/pipelines/conversational/talk/image.md): Displays an image to the user at a given step in a conversational pipeline
- [Message Node](https://docs.vectorshift.ai/platform/pipelines/conversational/talk/message.md): Displays a message to the user at a given step in a conversational pipeline
- [API Node](https://docs.vectorshift.ai/platform/pipelines/data-loaders/api.md): Interact with external APIs by sending HTTP requests
- [Arxiv Loader Node](https://docs.vectorshift.ai/platform/pipelines/data-loaders/arxiv.md): Retrieve relevant articles from Arxiv based on a query
- [CSV Query Agent Node](https://docs.vectorshift.ai/platform/pipelines/data-loaders/csv-query.md): Agentically query a CSV
- [File Node](https://docs.vectorshift.ai/platform/pipelines/data-loaders/file.md): Load a static file your pipeline
- [Google Alert RSS Reader Node](https://docs.vectorshift.ai/platform/pipelines/data-loaders/google-rss.md): Read data from an RSS feed
- [RSS Feed Reader Node](https://docs.vectorshift.ai/platform/pipelines/data-loaders/rss.md): Read data from an RSS feed
- [Scrape URL Node](https://docs.vectorshift.ai/platform/pipelines/data-loaders/web-scraper.md): Scrape content from a provided URL
- [Exa AI Web Search Node](https://docs.vectorshift.ai/platform/pipelines/data-loaders/web-search-exa.md): Query the Exa AI Web Search API
- [Google Web Search Node](https://docs.vectorshift.ai/platform/pipelines/data-loaders/web-search-google.md): Query the Google Search API
- [Serp API Web Search Node](https://docs.vectorshift.ai/platform/pipelines/data-loaders/web-search-serper.md): Query the Serp API Web Search API
- [You.com Web Search Node](https://docs.vectorshift.ai/platform/pipelines/data-loaders/web-search-you-dot-com.md): Query the You.com Web Search API
- [Get Wikipedia Article Node](https://docs.vectorshift.ai/platform/pipelines/data-loaders/wikipedia.md): Get relevant Wikipedia articles based on a search query
- [Get Youtube Transcript Node](https://docs.vectorshift.ai/platform/pipelines/data-loaders/youtube.md): Retrieve the transcript of a Youtube video
- [AI Fill PDF Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/ai/ai-fill-pdf.md): Fill a PDF form using AI
- [AI Filter List Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/ai/ai-filter-list.md): Filter a list using AI based on a set of criteria
- [Categorizer Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/ai/categorizer.md): Categorize a text input into custom categories
- [Extract Data Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/ai/extract-data.md): Extract key pieces of information from a text input
- [Extract to CSV Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/ai/extract-to-csv.md): Extract data from a file and save it as a CSV file
- [Scorer Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/ai/scorer.md): Score a text input based on a set of criteria
- [Summarizer Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/ai/summarizer.md): Summarize a text input
- [Translator Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/ai/translator.md): Translate a text input from one language to another
- [Validate Email Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/data-enrichment/validate-email.md): Validate an email address
- [Append Files Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/file/append-files.md): Append files together into a single file
- [CSV Reader Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/file/csv-reader.md): Read a CSV file
- [CSV to Excel Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/file/csv-to-excel.md): Convert a CSV file to an Excel file
- [CSV Writer Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/file/csv-writer.md): Write data to a CSV file
- [File to Text Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/file/file-to-text.md): Convert a file into text
- [Rename File Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/file/rename-file.md): Rename a file
- [Sort CSV Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/file/sort-csv.md): Sort a CSV file
- [Text to File Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/file/text-to-file.md): Convert text into a file
- [Read JSON Values Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/json/read-json-values.md): Read multiple values from a JSON object
- [Write JSON Value Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/json/write-json-value.md): Write a value to a JSON object
- [Combine Lists Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/list/combine-lists.md): Combine multiple lists into a single list
- [Create List Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/list/create-list.md): Create a list from its constituent elements
- [Duplicate List Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/list/duplicate-list.md): Duplicate a single item to create a list of a certain size
- [Filter List Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/list/filter-list.md): Filter a list based on a condition
- [Flatten List of Lists Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/list/flatten-list.md): Flatten a list of lists into a single list
- [Get Item From List Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/list/get-list-item.md): Get the item at a specific index from a list
- [Join List Items Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/list/join-list-items.md): Join list items into a single string
- [List Trimmer Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/list/trim-list.md): Trim a list to a specified size
- [Custom SMTP Email Sender Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/notification/custom-email-notification.md): Send email via SMTP
- [Email Notification Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/notification/email-notification.md): Send email notifications
- [SMS Notification Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/notification/sms-notification.md): Send text message notifications
- [Chunk Text Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/text/chunk-text.md): Split Text into chunks
- [Combine Text Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/text/combine-text.md): Combine texts to singular output
- [Find and Replace Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/text/find-replace.md): Find and replace words in a given text
- [Split Text Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/text/split-text.md): Split text based on a delimiter
- [Text Formatter Node](https://docs.vectorshift.ai/platform/pipelines/data-transformation/text/text-formatter.md): Format text based on a specified formatter
- [Data Types](https://docs.vectorshift.ai/platform/pipelines/data-types.md): Ensure pipelines are valid and reliable by validating data types
- [Dependencies](https://docs.vectorshift.ai/platform/pipelines/dependencies.md): Force certain nodes to run after others
- [File Save Node](https://docs.vectorshift.ai/platform/pipelines/general/file-save.md): Save files into the Vectorshift platform
- [Pipeline Node](https://docs.vectorshift.ai/platform/pipelines/general/pipeline.md): Run other pipelines within your current pipeline
- [Share Object Node](https://docs.vectorshift.ai/platform/pipelines/general/save-object.md): Share a VectorShift object with another user
- [Text Node](https://docs.vectorshift.ai/platform/pipelines/general/text.md): Write text to send to downstream nodes
- [Transformation Node](https://docs.vectorshift.ai/platform/pipelines/general/transform.md): Allows for custom node creation
- [PagerDuty Node](https://docs.vectorshift.ai/platform/pipelines/integration/integration-pagerduty.md): Automate incident management with PagerDuty integration
- [Zoom Node](https://docs.vectorshift.ai/platform/pipelines/integration/integration-zoom.md): Automate meeting management with Zoom integration
- [Create Knowledge Base Node](https://docs.vectorshift.ai/platform/pipelines/knowledge/knowledge-base-create.md): Create a new Knowledge Base with configurable settings
- [Knowledge Base Loader Node](https://docs.vectorshift.ai/platform/pipelines/knowledge/knowledge-base-loader.md): Load Data into an existing Knowledge Base
- [Knowledge Base Reader Node](https://docs.vectorshift.ai/platform/pipelines/knowledge/knowledge-base-reader.md): Query a Knowledge Base to receive relevant data
- [Sync Knowledge Base Node](https://docs.vectorshift.ai/platform/pipelines/knowledge/knowledge-base-sync.md): Automatically trigger a sync to the integrations in a Knowledge Base
- [Semantic Search Node](https://docs.vectorshift.ai/platform/pipelines/knowledge/semantic-search.md): Embed and query documents semantically within a pipeline run
- [Text chunking](https://docs.vectorshift.ai/platform/pipelines/knowledge/text-chunking.md): Core concepts behind splitting and segmenting text
- [LLM Node](https://docs.vectorshift.ai/platform/pipelines/llms/llm-node.md): Utilize LLMs in your pipelines
- [Overview](https://docs.vectorshift.ai/platform/pipelines/llms/overview.md): The core models powering AI workflows
- [Condition Node](https://docs.vectorshift.ai/platform/pipelines/logic/condition.md): Implement control-flow logic in your pipeline
- [Convert Type Node](https://docs.vectorshift.ai/platform/pipelines/logic/convert-type.md): Convert value from source type to target type.
- [Merge Node](https://docs.vectorshift.ai/platform/pipelines/logic/merge.md): Merge multiple paths into a single flow
- [Text to SQL Node](https://docs.vectorshift.ai/platform/pipelines/logic/text-to-sql.md): Generate SQL from natural language
- [Time Node](https://docs.vectorshift.ai/platform/pipelines/logic/time.md): Outputs the time
- [Image to Text Node](https://docs.vectorshift.ai/platform/pipelines/multi-modal/image-to-text.md): Generate text from an image
- [Speech To Text Node](https://docs.vectorshift.ai/platform/pipelines/multi-modal/speech-to-text.md): Generate text from an audio file
- [Text to Image Node](https://docs.vectorshift.ai/platform/pipelines/multi-modal/text-to-image.md): Generate an image from a prompt
- [Text to Speech Node](https://docs.vectorshift.ai/platform/pipelines/multi-modal/text-to-speech.md): Generate audio from text
- [Overview](https://docs.vectorshift.ai/platform/pipelines/overview.md): Build custom AI workflows using powerful modular components
- [Input Node](https://docs.vectorshift.ai/platform/pipelines/start/input.md): Pass values of various data types into your pipeline
- [Output Node](https://docs.vectorshift.ai/platform/pipelines/start/output.md): Pass data out of your pipeline
- [Start](https://docs.vectorshift.ai/platform/pipelines/start/start.md)
- [Cron Trigger Node](https://docs.vectorshift.ai/platform/pipelines/start/trigger/cron-trigger.md): Trigger your pipeline to run at specified time intervals (e.g., every week)
- [Gmail trigger](https://docs.vectorshift.ai/platform/pipelines/start/trigger/gmail-trigger.md)
- [Outlook Trigger Node](https://docs.vectorshift.ai/platform/pipelines/start/trigger/outlook-trigger.md): Outlook Trigger for pipelines
- [Variables](https://docs.vectorshift.ai/platform/pipelines/variables.md): Type `{{` in any text field to open the variable builder
- [Configuring a Portal](https://docs.vectorshift.ai/platform/portals/configuring-a-portal.md): How to configure portal settings including basics, tabs, workspace, styling, and security
- [Creating a Portal](https://docs.vectorshift.ai/platform/portals/creating-a-portal.md): How to access the Portals section and create a new portal
- [Deploying and Sharing a Portal](https://docs.vectorshift.ai/platform/portals/deploying-and-sharing.md): How to deploy, embed, share, and publish your portal
- [Overview](https://docs.vectorshift.ai/platform/portals/overview.md): Learn what Portals are and when to use them in VectorShift
- [The Portal User Experience](https://docs.vectorshift.ai/platform/portals/portal-user-experience.md): What end users see when they open a deployed portal
- [Workspace](https://docs.vectorshift.ai/platform/portals/workspace.md): How to enable and configure personal workspaces for portal users
- [Transformations](https://docs.vectorshift.ai/platform/transformations.md): Execute custom code in your pipelines
- [Quickstart](https://docs.vectorshift.ai/quickstart.md): Learn VectorShift's core concepts and get started with your first pipeline
- [Support](https://docs.vectorshift.ai/support.md): Get help from the VectorShift support team - hours, SLA, and contact options

## OpenAPI Specs

- [pipeline](https://docs.vectorshift.ai/api-reference/pipelines/pipeline.json)
- [knowledge_base](https://docs.vectorshift.ai/api-reference/knowledge-bases/knowledge_base.json)
- [chatbot](https://docs.vectorshift.ai/api-reference/chatbots/chatbot.json)
- [transformation](https://docs.vectorshift.ai/api-reference/transformations/transformation.json)
- [openapi](https://docs.vectorshift.ai/api-reference/openapi.json)

## Optional

- [Book a Demo](https://calendly.com/albert_mao/vectorshift-intro-chat)
- [Blog](https://vectorshift.ai/blog)
- [Tutorials](https://www.youtube.com/@VectorShiftAI)