Vector Retrieval and RAG · Public

cozo

Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.

Vector databaseRAGEmbeddingsSemantic searchData boundaries

Best fitDevelopers connecting knowledge bases, documents, or app data to semantic retrieval or RAG workflows.

Check whether this project matches your task before installing it.

What it can doVector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot4.0k stars

154 forks · 21 contributors

Doramagic.ai Last verification date: 2026-06-24 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-06-24

What is cozo?

cozo is a vector database, retrieval, or RAG storage component for AI applications.
Best fit: Developers connecting knowledge bases, documents, or app data to semantic retrieval or RAG workflows.
Not for: Not for one-off model API calls or environments that cannot isolate indexed data, credentials, and persistence paths.
Capability added to an AI workflow: Vector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance
First safe verification step: Verify create, query, delete, and rollback with a small public text sample before using real data.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/cozodb/cozo, https://github.com/cozodb/cozo#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers connecting knowledge bases, documents, or app data to semantic retrieval or RAG workflows.

Match the project to your task before installing it.

CapabilityVector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance

Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.

Repositorycozodb/cozo

4.0k stars · 154 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Project Overview and Architecture

Related topics: Query Engine and Datalog Language, Storage Backends and Persistence, Language Bindings, Server, and Advanced Search Features

Source: https://github.com/cozodb/cozo / Human Manual

Query Engine and Datalog Language

Related topics: Project Overview and Architecture, Storage Backends and Persistence

Source: https://github.com/cozodb/cozo / Human Manual

Storage Backends and Persistence

Related topics: Project Overview and Architecture, Query Engine and Datalog Language

Source: https://github.com/cozodb/cozo / Human Manual

Language Bindings, Server, and Advanced Search Features

Related topics: Project Overview and Architecture, Query Engine and Datalog Language, Storage Backends and Persistence

Source: https://github.com/cozodb/cozo / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/cozodb/cozo, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars4.0k stars

Forks154 forks

Contributors21 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using cozo with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Is cozo still being maintained?
github / github_issue
02
Benchmarks don't compile: missing ScriptMutability argument
github / github_issue
03
Sled backend: fix broken del() and implement time travel support
github / github_issue
04
cargo update breaks due to newer rayon version
github / github_issue
05
Destroying a DbInstance
github / github_issue
06
Problem: UUIDs are not lexicographically sortable
github / github_issue
07
RUSTSEC-2024-0379 affects this crate
github / github_issue
08
Regression: newrocks feature does not compile correctly
github / github_issue
09
Exposed AST in Rust library contains private types
github / github_issue
10
`env_logger` should not be a dependency of `cozo-core`
github / github_issue
11
Suggestions on improving SQLite storage backend performance
github / github_issue
12
v0.7.6
github / github_release

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pip install pycozo

Official start command · https://github.com/cozodb/cozo#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

cozo Manual

A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!

Open the full manual

https://github.com/cozodb/cozo Project Manual
Table of Contents
Project Overview and Architecture
Related Pages
What is CozoDB
High-Level Architecture
Core Engine and Storage
Language Bindings

Project Overview and Architecture

Related topics: Query Engine and Datalog Language, Storage Backends and Persistence, Language Bindings, Server, and Advanced Search Features

Source: https://github.com/cozodb/cozo / Human Manual

Query Engine and Datalog Language

Related topics: Project Overview and Architecture, Storage Backends and Persistence

Source: https://github.com/cozodb/cozo / Human Manual

Storage Backends and Persistence

Related topics: Project Overview and Architecture, Query Engine and Datalog Language

Source: https://github.com/cozodb/cozo / Human Manual

Language Bindings, Server, and Advanced Search Features

Related topics: Project Overview and Architecture, Query Engine and Datalog Language, Storage Backends and Persistence

Source: https://github.com/cozodb/cozo / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

medium

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Capability evidence risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Runtime risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Runtime risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Runtime risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Runtime risk requires verification

May increase setup, validation, or first-run risk for the user.