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Searchat

Searchat is a web-based conversational search application, identified as SearChat in its repository, that combines search-engine results with AI chat and offers a Deep Research workflow for iterative searching and structured, citation-supported reports.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Searchat — OpenViST project profile in Search & Research AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Searchat for conversational discovery when you want to refine a search through follow-up questions, or for broader topic investigations that benefit from iterative searches and a cited report.

Who it is for

  • People who want to explore web-search questions through follow-up conversation.
  • Researchers seeking iterative searches and structured reports with citations.
  • Developers who want to inspect or self-host a search-and-chat application and configure model and search integrations.

Documented uses

  • Ask a web-search question and continue with contextual follow-up prompts.
  • Explore a topic through iterative searches that address knowledge gaps.
  • Generate a structured research report with source references.
  • Configure a chat-and-search application to use supported model and search providers.
Before you choose

Requirements & limits

  • The README says the chosen AI model should support tool or function calling for best results.
  • Model API keys are required for Docker setup; search-provider API keys are optional when using SearXNG but may be needed for other providers.
  • Docker deployment requires Docker, Docker Compose and network access to required services.
  • Local development requires Node.js 20 or later, Yarn 3.5.1 and Turborepo.
  • The repository lists MIT licensing.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Prepare a local Searchat development environment

Install the project dependencies and configure its development environment.

Before you start

  • Node.js 20 or later
  • Yarn 3.5.1
  • Turborepo

Steps

  1. Clone the SearChat repository and enter its directory.

  2. Run yarn install from the repository root.

  3. Copy apps/server/.env to apps/server/.env.local and edit the local configuration.

Expected outcome

The repository dependencies are installed and the server environment has a local configuration file, ready for the documented development-server stage.

Guide limitations

  • This guide covers setup only; it does not claim that the application was run.
  • Starting the development servers is a separate documented step.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
9 October 2026
Original website title
yokingma/SearChat · Official homepage title · retained in its source language
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