Visibility winner
infiniflow/ragflow
77.4K stars
Use this as the long-horizon mindshare read, not as the final answer.
Freshness winner
LaurieWired/tailslayer
+78 in the weekly window
Last commit Apr 7, 2026
Adoption winner
infiniflow/infinity
Package mapping still partial
GitStar keeps the comparison directional when linked package telemetry is missing.
Data completeness
Comparison confidence
0/3 package links
1/3 repos have weekly momentum in the current snapshot.
Compare up to three repositories with comma-separated owner/repo names. GitStar keeps missing package or momentum data explicit instead of flattening it into a false zero.
infiniflow/ragflow currently leads on long-horizon mindshare with the strongest star base in this comparison. Package mapping is still partial, so this comparison cannot declare a clean adoption winner yet.
GitStar keeps cross-repository gaps visible. Missing package mappings or partial momentum data lower confidence, but they do not stop the page from showing a directional read.
infiniflow/ragflow currently leads on long-horizon mindshare with the strongest star base in this comparison.
Stars are strongest at showing durable visibility, not direct production fit.
LaurieWired/tailslayer has the strongest current movement signal in this set.
Weekly movement is +78 in the weekly window.
Package mapping is still partial, so this comparison cannot declare a clean adoption winner yet.
Treat this as a directional evaluation and verify ecosystem usage directly from package registries.
This is a cross-lane comparison, so use it to inspect trade-offs rather than to force a single numeric winner.
When the compared repos do not clearly share category or package neighborhoods, methodology and direct docs review matter more.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Library for reducing tail latency in RAM reads