Why This Matters
Antfly introduces a versatile, distributed search engine built in Go that seamlessly integrates multimodal data types and advanced retrieval techniques, including full-text search, vector similarity, and graph traversal. Its comprehensive features, such as built-in ML inference, SDKs, and easy integration with PostgreSQL and React, make it a powerful tool for developers and organizations seeking scalable, intelligent search solutions. This innovation enhances the capabilities of search and knowledge management in the tech industry, enabling more intuitive and efficient data retrieval for consumers and enterprises alike.
Key Takeaways
- Antfly combines multimodal data search with distributed architecture for scalable performance.
- Built-in ML inference and RAG agents enable advanced retrieval-augmented generation capabilities.
- Easy integration with popular tools like PostgreSQL and React accelerates deployment and development.
Antfly
Antfly is a distributed search engine built on etcd's raft library. It combines full-text search (BM25), vector similarity, and graph traversal over multimodal data — text, images, audio, and video. Embeddings, chunking, and graph edges are generated automatically as you write data. Built-in RAG agents tie it all together with retrieval-augmented generation.
Quick Start
# Start a single-node cluster with built-in ML inference go run ./cmd/antfly swarm # Or run with Docker docker run -p 8080:8080 ghcr.io/antflydb/antfly:omni
That gives you the Antfarm dashboard at http://localhost:8080 — playgrounds for search, RAG, knowledge graphs, embeddings, reranking, and more.
See the quickstart guide for a full walkthrough.
Features
Documentation
antfly.io/docs
SDKs & Client Libraries
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