Cost and Latency in a RAG Pipeline: Where the Time Actually Goes
Break a RAG request into stages - embedding, search, reranking, generation - and see which one actually drives your latency and cost before you tune it.
Vector Database or Plain Keyword Search: When Each One Wins
Keyword search nails exact IDs, vector search handles vocabulary mismatch. A practical guide to picking the right retrieval method for your RAG project.
Choosing an Embedding Model for a Company Knowledge Base
How to pick an embedding model for a company knowledge base: start from your corpus, weigh hosted APIs against self-hosted weights, and measure retrieval.
Build your own AI assistant on your documents
Ragable indexes your files and answers from them, with citations. Start on SaaS or run it on your own infrastructure.
Start from $99/month