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atliliw/langchainRustAgent

RAG-based conversational AI system with layered compression, multi-agent collection, and hybrid retrieval (BM25 + vector). Built with Rust/Axum.

🛠 AI-built ⚡ AI-using Rust GitHub ↗

★ 1

stars

AI relevance

solo dev

tool sigs

SUMMARY AI summary by gpt-5-mini

本プロジェクトは、Rust製バックエンドと単一ページWeb UIを備えたRAG（Retrieval-Augmented Generation）対話システムです。ドキュメントをアップロードして検索・照会し、会話に基づく応答生成を行います。利用者は内部資料やナレッジベースを対話形式で検索・要約したい開発者やデータサイエンティスト、プロダクト担当者を想定しています。主な機能は次のとおりです。三種の検索モード（ベクトル検索、BM25 キーワード検索、RRF 混合検索）、対話圧縮（階層圧縮、要約圧縮、重要情報保護）、TXT/PDF/Markdown/JSON/CSV対応の文書取り込み、ファイルアップロード・検索・比較テストが可能なSPA。技術スタックはバックエンドが Rust + Axum、ベクトルDB に Qdrant、BM25 に MongoDB、会話保存は SQLite、埋め込みと LLM は OpenAI（text-embedding-ada-002、GPT-3.5/GPT-4）を使用します。簡単な導入手順は config.toml を用意して OpenAI API キーを設定し、cargo run --release で起動、http://localhost:8080 にアクセスします。主なAPIエンドポイントには /api/chat（対話）、/api/upload、各種検索や比較用の /api/search/*、/api/stats などがあります。ライセンスは MIT。

AI Coding Tools Used

This repository contains config files from these AI coding tools, indicating AI-assisted development.

OpenAI Codex (AGENTS.md) AGENTS.md

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🧠 LLM providers (1)

OpenAI

🤖 LLM models (1)

GPT-4

🔢 Embedding models (1)

text-embedding-ada

💾 Databases (2)

MongoDB SQLite

🌐 Web frameworks (1)

Axum

Language breakdown (by bytes)

CSS

1.9%

HTML

Rust

69.4%

Shell

1.1%

JavaScript

21.1%

PowerShell

0.5%

Owner

Account

atliliw

Type

User

Followers

Dates

Created on GitHub	2026-04-28
Last push	2026-05-09
First seen here	2026-05-09
Last fetched	2026-05-09 18:18

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