Skip to main content
Kaino.dev
Discover
Evals
News
Academics
Insights
Kaino.dev

Discover, evaluate, and compare AI tools, models, and agents.

Explore

  • Discover
  • Evaluations
  • News
  • Academics
  • Insights

Community

  • Twitter
  • YouTube
  • Instagram
Privacy PolicyTerms of Service

© 2026 Kaino.dev. All rights reserved.

Version 1.1.0
telegram-search · Discover · Kaino
Discover/AI AGENTS/telegram-search
telegram-search logo

AI AGENTS

telegram-search

by groupultra

agentlead-sourcegithub-ai-agent-repositoriessource:github.comtelegramsearchchat-historyragvector-searchsemantic-searchgithubopen-source
Visit WebsiteDocumentationGitHub

Overview

Export and fuzzy search Telegram chat history, with documented semantic search, vector search, and RAG-powered AI Q&A features.

Details

telegram-search is an open-source GitHub project from groupultra described as a tool to export and fuzzy search Telegram chat history. Its English documentation covers semantic search, CJK word segmentation, vector search, RAG-powered AI Q&A, Telegram bot search/export, Docker deployment, and environment-variable configuration. The repository also includes documentation files for contributing, security, and code of conduct.

When to Use

Search exported Telegram chat history with fuzzy search or semantic/vector search workflows. Build an AI-assisted question-answering flow over Telegram chat records using the documented RAG-powered AI Q&A capability. Deploy or evaluate a Telegram chat search/export tool using the project’s Docker and environment-variable documentation.

Getting Started

  1. Open the GitHub repository at https://github.com/groupultra/telegram-search.
  2. Read the English README at https://github.com/groupultra/telegram-search/blob/main/docs/README_EN.md for setup
  3. deployment
  4. and configuration details.
  5. Review the docs directory for README_EN.md
  6. README_JA.md
  7. CONTRIBUTING.md
  8. SECURITY.md
  9. and CODE_OF_CONDUCT.md.
  10. Inspect the documented environment variables and Docker deployment guidance before running it with Telegram data.

Key Features

  • •Export and fuzzy search Telegram chat history.
  • •Semantic search and vector search documented in the English README.
  • •RAG-powered AI Q&A over Telegram chat data.
  • •CJK word segmentation support documented in the English README.
  • •Telegram bot search/export support.
  • •Docker deployment and environment-variable configuration documentation.

Capabilities

  • •telegram-chat-export
  • •fuzzy-search
  • •semantic-search
  • •vector-search
  • •rag-qa
  • •telegram-bot-search-export

Last updated Jun 4, 2026