From 00f506c0bd70aa95b2aff71c18be37c1adf730b8 Mon Sep 17 00:00:00 2001 From: Andy Lee Date: Mon, 4 Aug 2025 17:53:27 -0700 Subject: [PATCH] docs: Adjust DiskANN positioning in features and roadmap - features.md: Put HNSW/FAISS first as default, DiskANN as optional - roadmap.md: Reorder to show HNSW integration before DiskANN - Consistent with positioning DiskANN as advanced option for large-scale use --- docs/features.md | 2 +- docs/roadmap.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/features.md b/docs/features.md index 51c0c4f..da4e495 100644 --- a/docs/features.md +++ b/docs/features.md @@ -5,7 +5,7 @@ - **🔄 Real-time Embeddings** - Eliminate heavy embedding storage with dynamic computation using optimized ZMQ servers and highly optimized search paradigm (overlapping and batching) with highly optimized embedding engine - **📈 Scalable Architecture** - Handles millions of documents on consumer hardware; the larger your dataset, the more LEANN can save - **🎯 Graph Pruning** - Advanced techniques to minimize the storage overhead of vector search to a limited footprint -- **🏗️ Pluggable Backends** - DiskANN, HNSW/FAISS with unified API +- **🏗️ Pluggable Backends** - HNSW/FAISS (default), with optional DiskANN for large-scale deployments ## 🛠️ Technical Highlights - **🔄 Recompute Mode** - Highest accuracy scenarios while eliminating vector storage overhead diff --git a/docs/roadmap.md b/docs/roadmap.md index c9446df..fa04b5c 100644 --- a/docs/roadmap.md +++ b/docs/roadmap.md @@ -2,8 +2,8 @@ ## 🎯 Q2 2025 -- [X] DiskANN backend with MIPS/L2/Cosine support - [X] HNSW backend integration +- [X] DiskANN backend with MIPS/L2/Cosine support - [X] Real-time embedding pipeline - [X] Memory-efficient graph pruning