André Dias Moreira Prol, drawing on two decades in IT and Web3 infrastructure, outlined a four-stage production RAG architecture — ingestion and chunking, embeddings and vector storage, hybrid retriev…
Turbopuffer, the vector search layer behind Cursor and Notion, announced in a September 30 blog post that it is removing the vector index as the primary data structure in its next major version, citin…
A developer published a checklist for running pgvector semantic search inside PostgreSQL, aimed at teams whose documents, permissions and metadata already live in the database. The writeup covers vers…
Backend lead and architect Jawad Ul Hadi built Omni.io, a multi-tenant RAG customer-support engine on NestJS, PostgreSQL with row-level security and pgvector, BullMQ, Gemini and React, designed so tha…
Nexusyn launched a long-term memory engine for AI agents that scores 81.1% (284/350) on LongMemEval-S and 74.3% (1,476/1,986) on LoCoMo, according to the company's published benchmarks. The Go-based e…
A developer built feedback-memory, a roughly 200-line MCP server backed by local PGlite Postgres with pgvector that stores past approvals, edits and rejections along with the reasons behind them, then…
A developer's analysis of 155 engineering studies and hiring data argues that AI code generators have made conventional portfolio projects like todo apps and e-commerce clones worthless as proof of en…
A developer built an on-device semantic search feature for GitHub starred repositories using Google's EmbeddingGemma 300M model, running through ONNX Runtime in a desktop app's Deno process so no quer…
Neon announced that Lakebase Search, its vector and BM25 full-text search primitive for AI agents running on Lakebase Postgres, is now generally available. Lakebase Search ships as two Postgres extens…
A developer at LogicLoop described a production hybrid-search RAG pipeline that runs BM25 keyword retrieval in Elasticsearch alongside dense vector retrieval in pgvector and fuses normalized scores, r…
A developer has built a portfolio of AI agent and RAG applications, including a Deep Research Agent that runs multi-stage research workflows with FastAPI, LangGraph, Tavily and ChromaDB, and an Autono…
SourceBento detailed the design of DocBento, a self-hosted Python document management application that pairs four OCR paths — PaddleOCR, Tesseract, optional Docling, and a vision-model option — with k…
Databricks made Lakebase Search generally available on AWS and Azure through two Postgres extensions, lakebase_vector for approximate neighbor search and lakebase_text for BM25 full-text search. On th…
A developer demonstrated a retrieval-augmented generation (RAG) pattern in PHP using NanoAgent, in which a knowledge-base search is exposed to an LLM as a callable tool rather than relying on the mode…
A developer built a "find similar players" feature for a baseball side project using pgvector without any embedding model, constructing feature vectors directly from pitch-by-pitch data via SQL aggreg…
A developer measured how pgvector's HNSW approximate index silently starves permission-filtered AI search results, showing that a caller allowed to read only 10 percent of documents received a median …
A developer built SHIPCHECK, a deterministic 2-hop relational context engine on the Sanity Content Lake, to replace vector similarity search for engineering dependency queries. Benchmarked against a s…
A team running a customer support RAG bot over two million internal documents found that a small cluster of repeated queries — such as "reset password" and its variants — accounted for 38% of all vect…
A developer demonstrated Reciprocal Rank Fusion (RRF) as a way to combine vector and full-text search results for RAG retrieval, using the open-source project vaultrag as an example. The technique dis…
A developer has detailed a permission-aware retrieval-augmented generation (RAG) pattern that pushes access-control filtering inside the pgvector query rather than applying it after retrieval. The app…