GoSearch is an AI-driven enterprise search platform that unifies company knowledge across apps, providing real-time answers, summaries, and actionable insights using agentic AI.

Who is GoSearch designed for?

GoSearch serves both individuals and enterprise teams, including Engineering, IT, HR, Product, Marketing, Sales, GTM teams, and more, helping them discover insights, automate workflows, and make data-driven decisions.

What are GoSearch AI Agents?

AI Agents are no-code workflows that automate tasks and provide answers across connected tools and data sources, helping teams work faster and smarter.

How quickly can I start using GoSearch?

Teams and individuals can deploy GoSearch in hours to days, depending on the number of connected data sources and users.

What is GoSearch Free and who is it for?

GoSearch Free is a forever-free plan that connects personal apps (Gmail, Drive, Slack, Teams, etc.) for unified search across emails, docs, chats, and calendar. Ideal for individuals and small teams.

What is the difference between GoSearch Free and paid/enterprise plans?

Paid plans unlock broader integrations, team support, governance controls, and enhanced AI capabilities, while the free plan focuses on personal or small-scale use.

How does GoSearch pricing scale with users or data volume?

Enterprise pricing is typically usage-based or per-seat, scaling with the number of users, connected apps, and data volume.

Which data sources can GoSearch connect to?

GoSearch integrates with 100+ apps, including Slack, Gmail, Google Drive, Notion, Jira, Salesforce, and more.

Can GoSearch handle unstructured data like chats, tickets, and attachments?

Yes. Using AI-driven semantic search, GoSearch can interpret unstructured content to surface relevant results.

Can I add custom or internal data sources?

Yes. GoSearch supports custom connectors and integrations for enterprise systems, databases, and private repositories.

How quickly can new data sources be onboarded?

Many connectors can be added in hours, with minimal configuration, depending on access permissions.

What is federated search versus indexed enterprise search?

Federated search queries multiple live data sources directly; indexed search builds a consolidated searchable index.

What is a hybrid search architecture?

A hybrid approach indexes safe/static data while federating sensitive or real-time data, balancing speed, freshness, and governance.

When should I use federated, indexed, or hybrid search?

Federated: highly sensitive or dynamic data. Indexed: static, shared data needing fast results. Hybrid: most enterprise use cases.

What is Retrieval Augmented Generation (RAG)?

RAG combines retrieval of relevant documents with generative AI to produce coherent, summarized, context-aware answers.

Can RAG work with sensitive or regulated data?

Yes. In federated or hybrid models, RAG retrieves real-time data without duplicating it, maintaining privacy and compliance.

What AI models does GoSearch support?

GoSearch allows users to select from multiple large language models (LLMs) and customize AI workflows.

What are no-code AI Agents?

No-code Agents automate workflows, summarize data, or generate answers across apps without coding expertise.

Does GoSearch support summarization and insights extraction?

Yes. GoSearch can summarize documents, conversations, and tickets, and generate actionable insights for teams.

How does GoSearch handle security?

GoSearch supports role-based access, encryption, SSO/SAML, BYOC deployments, and zero-copy search to prevent data duplication.

How is user permission enforced?

Search results only show content the user is authorized to access. Permission checks are applied in real-time.

Does GoSearch comply with privacy regulations?

GoSearch is designed to meet enterprise compliance requirements, including GDPR, HIPAA, and other data governance standards.

Can GoSearch be deployed in a private cloud or VPC?

Yes. GoSearch supports enterprise deployment options for enhanced data control and compliance.

What makes GoSearch different from Glean or other enterprise search tools?

GoSearch offers lower TCO, hybrid search architecture, flexible AI workflows, real-time retrieval, broader integrations, and faster deployment.

Which other platforms are commonly evaluated as alternatives?

Common alternatives include Glean, Coveo, Lucidworks, Elastic Enterprise Search, Algolia, and Unleash.

Why might teams switch from Glean to GoSearch?

Teams often switch for lower cost, faster deployment, more AI customization, broader integrations, and stronger governance.

How does GoSearch compare to Unleash?

GoSearch offers self-serve AI agents, zero-copy real-time search, broader connectors, and transparent pricing, whereas Unleash often requires sales contact and indexed data.

Does GoSearch provide usage analytics?

Yes. Teams can see search trends, content gaps, and usage statistics to improve knowledge management.

Can GoSearch track which documents or sources are most accessed?

Yes. This helps identify valuable knowledge assets and optimize content strategy.

Can GoSearch search large attachments or multimedia files?

Yes, GoSearch can parse PDFs and text-based attachments, and videos. It can also search by image.

What are common trade-offs between federated vs indexed search?

Federated search is real-time and privacy-safe but can have latency. Indexed search is faster but may duplicate sensitive data. Hybrid often balances both.

Are there any limits on the number of connected apps or users?

Limits depend on the plan: Free accounts have personal usage limits; enterprise plans scale to hundreds or thousands of users.

Integrations GitHub

GoSearch integration for GitHub

Integrate and search through all your repositories, issues, and pull requests, seamlessly through the GoSearch AI enterprise search integration with GitHub.

Federated (Native)

Indexing (Native)

MCP server

Overview

GoSearch helps teams bring live GitHub context into GoAI experiences through secure, real-time access. With the GitHub MCP Server integration, teams can use repository and development workflow data in GoAI, Agents, and Workflows without indexing it into standard GoSearch search results.

Use GoAI to query repositories, pull requests, issues, discussions, and code context with natural language so engineering teams can retrieve live information, summarize development activity, and support faster execution.

Data integration options

Native

Managed by GoSearch

Connect for team

Connect individually

Data	Appears in search results	Available in GoAI, Agents, Workflows
Repository titles
Issue title
Issue description
Pull Request title
Pull Request description
Any .txt or .md file title and description
Commit message title and body
Pull Request metadata
Issue metadata
Files
Comments

MCP Server

Managed by GitHub

GitHub data integration is available through the GitHub MCP Server, which provides secure permission-aware access to GitHub data in real time. Using GitHub-built tools, teams can retrieve repositories, pull requests, issues, discussions, and related development context directly from GoSearch.

MCP servers are supported in GoAI, Agents, and Workflows, enabling real-time actions and automation.
They are not available in standard search results.

For a complete list of supported tools and capabilities, view the documentation.

MCP documentation

Features

Advanced search capabilities for fast retrieval of information within GitHub
Near real-time indexing of GitHub repositories and issues for accurate search results
Intuitive search filters and generative AI summaries for precise content retrieval
Compatibility with existing workflows within the GitHub environment

Benefits

Enhanced development processes through efficient code and resource retrieval
Improved decision-making with always accurate and up-to-date search results
Easier collaboration among team members with streamlined information sharing
Minimizing search time for specific repositories, issues, code snippets, and more