sanonone/kektordb

An in-memory 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.

42
/ 100
Emerging

KektorDB helps developers building Go applications to add semantic search, AI-powered question answering (RAG), and smart AI API caching directly into their software. It takes in your documents (like PDFs or text files) and processes them to enable intelligent searches and interactions, providing a backend for features like 'related products' or 'chat with your private data.' This tool is for Go developers who want to embed advanced AI capabilities without managing complex external services.

Use this if you are a Go developer building an application and need to add fast, in-process semantic search, RAG capabilities for local knowledge bases, or an AI gateway to optimize LLM API calls and costs.

Not ideal if you need a distributed cluster to manage billions of vectors or if your primary development language is not Go.

semantic-search knowledge-base-management AI-application-development chatbot-integration API-cost-optimization
No Package No Dependents
Maintenance 10 / 25
Adoption 8 / 25
Maturity 15 / 25
Community 9 / 25

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Stars

64

Forks

5

Language

Go

License

Last pushed

Mar 12, 2026

Commits (30d)

0

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