» Tag
vector-search
12 postsSlater: A Low-Memory GraphDB for Graphs That Don't Fit in RAM
Slater brings disk-native, low-memory graph storage with full neo4j Bolt compatibility, live writes, and built-in vector search.
Anatomy of a Full Self-Hosted RAG Stack, End to End
A self-hosted RAG pipeline in full: Docling parsing, dual dense/sparse indexing, RRF hybrid search, knowledge graphs, token budgeting, and parallel ingestion.
Reading AI Memory OSS as a Backend System, Not a Prompt
A 10-question framework for evaluating AI memory OSS as backend infrastructure, using Honcho's pinned source and change history as a case study.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comAmazon Bedrock Managed Knowledge Base: What Changes for Developers
AWS's Amazon Bedrock Managed Knowledge Base automates RAG ingestion, parsing, and retrieval — key quota limits and userContext security to know.
Persistent AI Agent Memory Is a Write-Path Cost Problem
AI agent memory costs are driven by write-path LLM calls, not retrieval. Engineering levers to cut cost and latency without sacrificing quality.
The Elasticsearch and Qdrant Benchmark: A Disk That Never Woke Up
Exploring the Elasticsearch and Qdrant vector search benchmark results and implications.
Why Wire Is Moving Off Cloudflare Durable Objects
Wire, which builds context containers for AI agents, is leaving Cloudflare Durable Objects for a self-built Fly Machines runtime, citing structural limits and sharing benchmark results.
rememori: A Zero-Dependency TypeScript Memory Engine for AI Agents
rememori is a zero-dependency TypeScript library giving AI agents persistent memory by combining cosine similarity, entity graphs and time decay.
HNSW and Vector Search: Finding Nearest Neighbors Efficiently
HNSW is an effective method for finding nearest neighbors in vector search systems.
Filtered Vector Search: What Acorn Fixes, and What Fixes Acorn
Qdrant introduces new methods to solve filtered vector search issues. ACORN and filterable HNSW enhance performance.