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kelindar/search

Go library for embedded vector search and semantic embeddings with llamacpp

GitHub

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

65views this month

559 stars24 forksLast push Sep 19, 2026 Go MIT

Decision brief

search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework.

Good fit when

Use for projects needing a lightweight, fast integration of semantic search capabilities within applications written in Go
Consider if your project benefits from the direct use of llamacpp for creating embeddings, emphasizing efficiency in embedding generation

Avoid when

Avoid if relying on out-of-the-box support beyond Go or requiring heavy customization that is not supported directly by llama.cpp's capabilities
Not suitable when a more comprehensive database service with extensive querying and integration features is desired over an embedded solution

Observed Jul 17, 2026 · Source: enrich:decision_facts

search alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of Sep 20, 2026
Provenance: Not a fork · Personal account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

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

Install

go get github.com/kelindar/search

pkg.go.dev

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Provides tools in Go for embedding vector search and creating semantic embeddings using the llama.cpp framework.

Capability facts

Languages: go
Source: github.language · Sep 20, 2026

README

<p align="center" <img width="300" height="100" src=".github/logo.png" border="0" alt="kelindar/search" <br <img src="https://img.shields.io/github/go mod/go version/kelindar/search" alt="Go Version" <a href="https://pkg.go.dev/github.com/kelindar/search" <img src="https://pkg.go...

For agents

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

/tools/kelindar-search.md GET /api/graphcanon/tools/kelindar-search GET /api/graphcanon/graph?tool=kelindar-search