RAG, Search & Vector DBs — The Latent Daily

RAG, Search & Vector DBs — The Latent DailyRetrieval-augmented generation, search and vector databases.https://thelatentdaily.com/en-usHow retrieval-augmented generation (RAG) works, step by stephttps://thelatentdaily.com/guides/how-retrieval-augmented-generation-works/https://thelatentdaily.com/guides/how-retrieval-augmented-generation-works/RAG lets AI answer from your documents. Each stage explained: ingestion, chunking, embeddings, retrieval, reranking, prompting and evaluation, with practical tips.Sun, 18 Oct 2026 04:51:00 GMTRAG, Search & Vector DBsragembeddingsvector-databasesdevelopersdario_admin@resolvia-crm.techVector databases explained: how they work and how to choose onehttps://thelatentdaily.com/guides/vector-databases-explained-how-to-choose/https://thelatentdaily.com/guides/vector-databases-explained-how-to-choose/Embeddings, similarity search, indexes like HNSW and the trade-offs between pgvector, Pinecone, Weaviate, Qdrant, Milvus and Chroma for your RAG project.Sun, 18 Oct 2026 04:50:00 GMTRAG, Search & Vector DBsvector-databasesragembeddingsdevelopersdario_admin@resolvia-crm.techQuick take: bigger context windows are not always betterhttps://thelatentdaily.com/articles/quick-take-bigger-context-windows-are-not-always-better/https://thelatentdaily.com/articles/quick-take-bigger-context-windows-are-not-always-better/Models now accept huge inputs, but stuffing everything into the prompt can reduce accuracy and raise costs. When long context helps, and when retrieval works better.Sun, 18 Oct 2026 02:47:00 GMTQuick Takecontext-windowraglong-contextopiniondario_admin@resolvia-crm.tech