Code & Development · GitHub ·67 ★

kektordb

Vector Database & AI Gateway written in Go. Supports HNSW, Hybrid Search (BM25), GraphRAG context, a built-in RAG Pipeline, and can be embedded directly into your apps.

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Details

Author
sanonone
Category
Code & Development
Platform
GitHub
Framework
custom
Language
go
Stars
67
First indexed
2026-05-15
Last active
2026-04-13
Directory sync
2026-05-15
@sanonone

Overview

Vector Database & AI Gateway written in Go. Supports HNSW, Hybrid Search (BM25), GraphRAG context, a built-in RAG Pipeline, and can be embedded directly into your apps.

Quick start

git

git clone https://github.com/sanonone/kektordb

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What kektordb can do

hrsqldataragembedding
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Sql — sql task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.

Frequently asked questions

What is kektordb?
Vector Database & AI Gateway written in Go. Supports HNSW, Hybrid Search (BM25), GraphRAG context, a built-in RAG Pipeline, and can be embedded directly into your apps.
How do I install kektordb?
Use git: `git clone https://github.com/sanonone/kektordb`. Full setup details on the source page linked above.
Is kektordb open source?
kektordb is published on GitHub.
What are alternatives to kektordb?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for kektordb is sourced from GitHub, published by sanonone.

Last scraped: · First indexed:

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