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Trieve

All-in-one platform for search, recommendations, RAG, and analytics

★ 2,698 GitHub MIT ragsearchrecommendationsvector-searchsemantic-searchnlpanalytics RAG & Knowledge

Overview

Trieve is an all-in-one platform for search, recommendations, RAG, and analytics offered via API. It supports semantic dense vector search, typo-tolerant full-text search, hybrid search with cross-encoder re-ranking, and convenient RAG API routes. Self-hostable in your VPC or on-premises with Docker Compose, AWS, GCP, or Kubernetes guides available.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  trieve:
    image: trieve/server:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/trieve:/data

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Guides & articles

Getting Started with Trieve: Build RAG-Powered Search in Minutes

A step-by-step tutorial on deploying Trieve, uploading documents, running hybrid search, and integrating RAG with LLMs.

Jul 24, 2026

Trieve: The All-in-One Platform for Search, RAG, and Analytics

Discover Trieve — a comprehensive platform combining semantic search, RAG, recommendations, and analytics into a single API. Self-hostable and developer-friendly.

Jul 24, 2026