Tag

#embeddings

5 posts

LLM & IntegrationJuly 8, 202617 min
Semantic Cache for LLM Calls with Redis Vector Sets (2026)
Build a semantic cache for LLM calls with Redis 8's native VADD/VSIM vector sets in Node.js and TypeScript — cache hits on paraphrases, not just exact text.
LLM & IntegrationJune 30, 202612 min
Cosine Similarity vs Dot Product for Embeddings (2026)
Cosine similarity vs dot product for embeddings, with runnable TypeScript. Learn when to normalize, why they match for unit vectors, and which to pick.
LLM & IntegrationJune 28, 202616 min
Token-Aware Text Chunking for RAG in TypeScript (2026)
Token-aware text chunking for RAG in TypeScript: recursive splitting with @langchain/textsplitters and js-tiktoken, plus chunk size and overlap tuning.
AI & Machine LearningMay 16, 202622 min
pgvector HNSW Postgres 18 Production Tuning Tutorial 2026
Tune pgvector 0.8.2 HNSW indexes on PostgreSQL 18: ef_search, halfvec quantization, iterative scans, and parallel builds with a runnable Docker setup.
LLM & IntegrationDecember 13, 202511 min
RAG Optimization: Smarter Retrieval Systems
RAG optimization: chunk sizing, hybrid retrieval, reranking, query rewriting, and evaluation — smarter retrieval-augmented systems that actually rank well.

Every post in #embeddings (5)

Semantic Cache for LLM Calls with Redis Vector Sets (2026)