telegram-search

Export and perform fuzzy search on Telegram chat records, supporting multiple languages and vector-based search.

MCPResearchOpen source

Type: MCP
Transport: http
Open source: Yes
GitHub Stars: ★ 3.9k
Source: mcp-github
Repository: github.com/groupultra/telegram-search

Overview

Telegram Search is a powerful tool for exporting and performing fuzzy searches on Telegram chat records. It supports various database exports, automatic tokenization, and vector embeddings for accurate retrieval. Additionally, it enables semantic image search and RAG-powered intelligent Q&A. This capability allows AI to process and analyze chat data more efficiently, making it ideal for scenarios requiring deep exploration and management of chat records. Suitable for developers and researchers.

Capabilities

▪Export chat records to multiple databases
▪Automatic tokenization and vector embedding
▪Multilingual fuzzy matching and vector search
▪Semantic image search
▪RAG-powered intelligent Q&A

Use cases

Backup and retrieval of personal chat recordsInternal enterprise chat record managementData analysis and miningIntegration with intelligent customer service systems

Setup

Requires: API KeyNode 环境

Use Docker Compose to quickly start:
```bash
curl -L https://raw.githubusercontent.com/groupultra/telegram-search/refs/heads/main/docker/docker-compose.yml -o docker-compose.yml
curl -L https://raw.githubusercontent.com/groupultra/telegram-search/refs/heads/main/docker/.env.example -o .env
curl -L https://raw.githubusercontent.com/groupultra/telegram-search/refs/heads/main/docker/init.sql -o init.sql
docker compose -f docker-compose.yml up -d
```

This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.

FAQ

Yes, the strong local tokenization capability can accurately match Chinese content.

Configure via account settings in the app (Settings → API).

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