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chromem-go

philippgille/chromem-go

Embeddable vector database for Go with Chroma-like interface.

GraphCanon updated 4w · GitHub synced 4w · 28 views this month

1.0k stars71 forksLast push 3mo Go MPL-2.0

Decision brief

Chromem-go is an embeddable vector database for Go that provides a Chroma-like interface with no third-party dependencies, suitable for applications needing in-memory persistence and cosine similarity search capabilities

Good fit when

  • If you are building applications in Go and require an in-memory vector database without additional third-party libraries.
  • When you need an efficient nearest-neighbor retrieval system within your application logic written in Go.

Avoid when

  • Avoid Chromem-go if you seek a traditional, disk-based persistence model as it primarily supports in-memory operations with optional persistence options.
  • Chromem-go is not the best choice if your application requires heavy concurrent load and large-scale data handling which might surpass the in-memory capability limits of this library.
Requirements:
Min 0.5 GB RAM

Observed Jul 11, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Steady (65d since push)
As of 4w
Provenance
Not a fork · Personal account
As of 4w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

go get github.com/philippgille/chromem-go
pkg.go.dev

How it fits your stack(2)

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Similar tools

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Evidence and technical details

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Overview

An embeddable in-memory vector database written in Go, offering a Chroma-like interface and support for cosine similarity searches among other features. It is designed to be used as an embedded component within applications without requiring third-party dependencies.

Capability facts

Languages
go

Source: github.language · Jul 22, 2026

Categories

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README

Installation

go get github.com/philippgille/chromem-go@latest

For agents

This page has a .md twin and JSON over the API.

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