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telegram-search

Active·★ 4.0k·AGPL-3.0·Updated 2026-07-18
★ Trending

Telegram Search is a tool designed to address the challenges of searching Telegram chat histories, especially for Chinese content. It provides robust capabilities for backing up and precisely retrieving personal Telegram messages, leveraging powerful local tokenization and vector search for efficient information discovery.

telegram-search is currently grouped under RAG / Knowledge Base, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Multi-database chat history export (PGlite, PostgreSQL compatible). and Efficiently finding specific messages in extensive Telegram chat histories.. The listed license is AGPL-3.0, which is useful when adoption constraints matter. It also shows measurable community traction with 4.0k GitHub stars.

#Telegram#Vector Search#AI#Data Backup#NLP#Web Browsing#Data Analysis#Communication
$ Install
$ docker compose -f docker-compose.yml up -d
↗ Visit site★ GitHub
01

Features

01Multi-database chat history export (PGlite, PostgreSQL compatible).
02Automatic media resource backup to MinIO object storage.
03Real-time synchronization for automatic retrieval and update of new messages.
04Intelligent multi-language tokenization for precise retrieval.
05Combined fuzzy matching, vector semantic search, and RAG AI Q&A.
02

Why choose it

+Multi-database chat history export (PGlite, PostgreSQL compatible).
+Efficiently finding specific messages in extensive Telegram chat histories.
+Covers 5 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a AGPL-3.0 license, which makes adoption and review easier.
03

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04

Compatibility

PGlite
Warning
Verified via docs
PostgreSQL
Native
Verified via docs
MinIO
Native
Verified via docs
LLM Providers
Configurable
Verified via docs
Embedding Models
Configurable
Verified via docs
05

Quick start

1
$ docker compose -f docker-compose.yml up -d
06

Use cases

↳Efficiently finding specific messages in extensive Telegram chat histories.
↳Searching and retrieving Chinese chat records that Telegram's native search cannot handle.
↳Utilizing AI for smart summaries of unread messages and interactive assistant dialogues.
07

How it compares

≈telegram-search sits in the RAG / Knowledge Base category, so it makes more sense to evaluate it alongside tools like mindsdb instead of in isolation.
≈If your main need is closer to "Efficiently finding specific messages in extensive Telegram chat histories.", that use case is a better lens for comparison than broad feature checklists alone.
≈telegram-search uses a AGPL-3.0 license, and community traction are both easier to judge in category context.
08

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Related searches

telegram-search AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge Basetelegram-search Tutorialtelegram-search Vs CompetitorsTelegramVector SearchAI

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 4.0k
Last commit2d ago
StatusActive
LicenseAGPL-3.0
CategoryRAG / Knowledge Base
Trend (30d)
+0.1k↑ 4.5%
Links
Documentation↗Discussion↗Issues↗Releases↗

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