Tag

RAG

3 posts on RAG

April 30, 20264 min read
Embedding Models: Which One, and Why It Matters Less Than You Think
Embedding model choice is a 5% problem for most RAG systems. Your chunking strategy is the 50% problem. Here's how to pick anyway.
ai llm rag embeddings vector-search
March 28, 202610 min read
RAG in Production: How Retrieval-Augmented Generation Actually Works
LLMs don't know your data. RAG fixes that by turning your documents into a searchable knowledge base. Here is the full pipeline: chunking strategies, dense vs hybrid retrieval, re-ranking, and when to reach for graph-based RAG with LightRAG.
ai llm rag vector-search infrastructure
March 20, 202612 min read
Why I Run Qdrant in Production: A 3-Node Cluster vs the Alternatives
Pinecone, Weaviate, Milvus, pgvector, Qdrant — five viable choices for a vector database. Here is why I picked Qdrant for production, how the 3-node cluster is laid out, and what the other options actually trade away.
vector-search qdrant rag infrastructure kubernetes

Embedding Models: Which One, and Why It Matters Less Than You Think