Developer Dharanidharan J (JD) has built FileRAG, a memory architecture for personal AI that stores a distilled understanding of each user in a single plain-text `.txt` file. The system uses hybrid BM…
An engineer built a documentation Q&A engine that returns `null` instead of hallucinating answers when a query has no match in the corpus. The Knowledge Base API uses BM25 retrieval with POS-aware lem…
Second-brain-mcp is a self-maintaining personal knowledge database that uses MCP, DuckDB, and biological memory models to automatically link, compress, and index saved papers, notes, and figures. The …
A developer built Provenant, a system that generates human-readable wiki pages for every file and module in a codebase, then searches those pages instead of raw source code. On SWE-bench Verified acro…
Auto-itera, an autonomous experimentation engine, now automates AI engineering decisions by running controlled experiments on real production data. Users define a goal, provide candidate arms, and set…
To build a production-ready Retrieval-Augmented Generation (RAG) pipeline in Python using BM25 retrieval via Meilisearch instead of a vector database, arguing that BM25 achieves 85–95% of the recall o…
"RAG Readiness," a tool designed to eliminate the vague "it depends" answers that plague Retrieval-Augmented Generation (RAG) architecture decisions. Instead of providing comparison tables, the tool u…