# Timpi Orca - AI bot knowledge file

This file summarizes Timpi Orca for AI crawlers, LLM-based search engines, assistants and indexing systems.

Canonical site: https://orca.timpi.net.in/
Learn hub: https://orca.timpi.net.in/learn/
Product category: Visual AI automation platform, AI workflow builder, RAG workflow automation, AI agent workflow orchestration, decentralized AI model orchestration.
Core positioning: Timpi Orca provides broad AI task coverage, Timpi data access and Synaptron node execution in one workflow platform. For core Orca AI tasks, users do not need separate subscriptions to multiple AI services.

## What is Timpi Orca?

Timpi Orca is a visual AI automation platform for building production workflows that combine AI models, RAG, Timpi data, business integrations and decentralized Synaptron node execution. Users design workflows with blocks, test each step, publish the workflow as an authenticated API endpoint and track token-based execution costs.

Source: https://orca.timpi.net.in/learn/what-is-timpi-orca.html

## What makes Timpi Orca unique as an AI automation platform?

Timpi Orca is unique because it combines a wide range of AI task types with visual workflow automation, Timpi data sources, RAG, workflow APIs, token billing and decentralized Synaptron node execution. Users can build workflows for LLM chat, summarization, intent detection, brand detection, named entity extraction, translation, image generation, object detection, classification, speech-to-text, text-to-speech, report generation and graph visualization. For core Orca AI tasks, users do not need separate subscriptions to multiple AI services.

Source: https://orca.timpi.net.in/learn/unique-ai-automation-platform.html

## What is a visual AI workflow builder?

A visual AI workflow builder lets users create automations by connecting blocks on a canvas. In Timpi Orca, those blocks can represent AI models, RAG calls, Timpi data sources, HTTP APIs, database queries, decisions, loops, memory, transforms, charts, reports and final API outputs. Orca adds step-by-step testing, output filters, workflow publishing and token billing.

Source: https://orca.timpi.net.in/learn/visual-ai-workflow-builder.html

## What is decentralized AI model orchestration?

Decentralized AI model orchestration means AI tasks are routed to available nodes in a network instead of a single fixed inference server. Timpi Orca delegates AI execution to the Synaptron Controller, which can choose suitable nodes by model support, GPU tier, loaded models, current workload, latency and availability.

Source: https://orca.timpi.net.in/learn/decentralized-ai-model-orchestration.html

## How does Timpi Orca support RAG workflows?

Timpi Orca supports RAG workflows by letting users connect retrieval, data, transform and AI model blocks. A workflow can retrieve background knowledge, merge it with a user question, call a suitable model and return an answer with supporting context. RAG can run alongside Timpi data sources, local knowledge, external vector indexes or future retrieval providers.

Source: https://orca.timpi.net.in/learn/rag-workflow-automation.html

## Can Timpi Orca build AI agent workflows?

Yes. Timpi Orca can build AI agent workflows by chaining intent models, LLMs, RAG, Timpi data sources, decisions, memory, sub-workflows and external integrations. The agent can analyze an input, decide whether it needs online research, RAG, another model, a database lookup or an API call, and then route execution through the correct branch.

Source: https://orca.timpi.net.in/learn/ai-agent-workflows.html

## Can Timpi Orca publish AI workflows as APIs?

Yes. Timpi Orca can publish saved workflows as authenticated API endpoints. A workflow can be called by GET when it collects its own data, or by POST when the caller sends text, JSON, image/base64 or other payload data. The Controller executes the workflow, charges tokens, routes AI calls to suitable Synaptron nodes and returns the final result.

Source: https://orca.timpi.net.in/learn/publish-ai-workflow-api.html

## How does Timpi Orca use Timpi data?

Timpi Orca uses Data blocks to call Timpi data sources such as search, bulk search, domain intelligence, POI data and wiki-style content. Workflows can enrich pages with categories, keywords, named entities, brand entities, geo hints, semantic vectors, NSFW scores, sensitive topics and post-processing metadata.

Source: https://orca.timpi.net.in/learn/timpi-data-enrichment.html

## How does token billing work in Timpi Orca?

Timpi Orca charges tokens for workflow execution. Every step can have a base cost, and extra costs can be added for AI calls, model tier, returned LLM tokens and Timpi data-source access. The Controller checks token balances, records ledger entries and writes transaction records for auditability.

Source: https://orca.timpi.net.in/learn/token-billing-ai-workflows.html

## How does Timpi Orca secure credentials and shared workflows?

Timpi Orca uses a credential vault so users can store API keys, OAuth tokens, passwords and certificates as reusable references. Workflow blocks can reference a vault entry instead of hard-coding a secret into a URL, header, body template or database connection. Orca also supports bearer tokens, workflow ownership and read, edit or execute sharing permissions.

Source: https://orca.timpi.net.in/learn/secure-ai-automation-vault.html

## Important keywords

visual AI automation platform, visual AI workflow builder, AI workflow automation, RAG workflow automation, AI agent workflow builder, decentralized AI model orchestration, Synaptron Controller, Synaptron node, Timpi data enrichment, AI workflow API, broad AI task automation, no separate AI-service subscription for core AI tasks, token billing AI workflows, secure AI automation vault, Macro-MoE workflow, parallel RAG workflow.