The Chunking Paradox: Why RAG Breaks Down Before Retrieval Begins
RAG failures often start at ingestion: bad chunk sizes split facts and hide context. Balanced chunks are key to accurate retrieval.
Vector Databases
A production benchmark compares pgvector with dedicated vector databases.
pgvector with pgvectorscale outperformed Qdrant in throughput but lost on tail latency; local tests teach benchmarking, not production fit.
Can Text Embeddings Perfectly Capture Text?
vec2text shows embeddings can recover original text, with 92% exact 32-token recovery, challenging privacy assumptions in RAG vector databases.
Building RAG from the Ground Up [Part 5]: A Vector Store Comparison — Pinecone, Qdrant, pgvector, and Weaviate
Learn how 2026 vector stores compare on index types, similarity metrics, hybrid search, and operational tradeoffs when building RAG systems.