#Vector Search

Build a Hybrid Keyword + Vector Search Engine with Typesense

Fuse BM25 keyword ranks with local embedding search in one Typesense API call for better relevance.

Tutorial · 1mo ago0

Why AI Agents Are Outgrowing Cloudflare Durable Objects

The architectural trade-offs of stateful edge computing, and what it costs to build your own data plane.

Article · 1mo ago0

Give Your AI Agent Persistent Long-Term Memory with Postgres and pgvector

Store and retrieve conversation history semantically across sessions using pgvector's HNSW index and OpenAI embeddings — no external vector database required.

Tutorial · 1mo ago0

Add Semantic Caching to Your LLM App with Redis

Build a Python layer that stores LLM responses by embedding and retrieves them by semantic similarity, so paraphrased questions skip the API entirely.

Tutorial · 2mos ago0

AWS Next-Gen OpenSearch Serverless Hits GA: 20× Faster Provisioning and True Scale-to-Zero

A redesigned architecture decouples compute from storage, making OCUs stateless — and the numbers show it: 20× faster provisioning, real scale-to-zero, and up to 60% cost savings over provisioned clusters.

Release · 2mos ago0

TurboVec: A Rust-Powered Quantised Vector Index That Fits 10M Docs in 4 GB

Built on Google Research's TurboQuant algorithm, TurboVec offers online ingest, SIMD-accelerated filtered search, and drop-in replacements for LangChain, LlamaIndex, and Haystack vector stores — no database required.

Article · 2mos ago0