RAG Chunking Strategies That Actually Work
How to choose chunk sizes, overlap, document boundaries, and metadata so retrieval returns useful context instead of fragments.
Amit Kumar Singh2 min read
#embeddings
4 articlesEverything tagged embeddings, newest first.
Vector Index Tuning: HNSW vs IVF
How HNSW and IVF vector indexes trade recall, latency, memory, and build cost for production semantic search.
Amit Kumar Singh2 min read
Embeddings for Engineers
A working mental model for what embeddings actually encode.
Amit Kumar Singh2 min read
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Vector Databases, Explained for Backend Engineers
What embeddings are, why approximate nearest-neighbor search needs special indexes, and when you actually need a vector database versus a pgvector column.
Amit Kumar Singh3 min read