llm-tools suite

Six AI
Tools.

Open source, and each one built to answer a question that came up in the writing: compliance workflows, RAG architecture, LLM evaluation, meeting operations. Vectr is the one still under active development.

01
vectr
Codebase indexer with layered memory. Maps structure, locates symbols, and remembers working notes across sessions — so your AI assistant never starts from zero.
Code Intelligence MCP
View tool →
02
dpdp-copilot
Self-hosted operator tool for managing DPDP Act data principal requests — AI classification, multilingual reply drafting, SLA monitoring, and immutable evidence export.
Compliance DPDP India AI
View tool →
03
rag-readiness
Opinionated RAG architecture recommendations — architecture diagnosis, multi-use-case sessions, implementation bundles, cost estimation, and RAGAS eval dataset generation.
RAG Architecture LLM
View tool →
04
llm-eval-suite
Stop comparing LLM outputs by gut feel. Score them across task-specific dimensions — with evidence, not opinion.
Evaluation LLM QA
View tool →
05
ai-use-case-scoper
Turn "we want to do AI" into a prioritised roadmap with a recommended first project and a 90-day plan — before you write a line of code.
Strategy AI Roadmap
View tool →
06
meeting-to-action
Normalize transcripts, detect meeting type, extract decisions and action items, track cross-meeting commitments, and generate weekly digests — with a single CLI tool.
Productivity Meetings AI
View tool →
Deep Dive · Blog
Why LLM Context Windows Fill Up Faster Than You Think — and What to Do About It
→
Deep Dive · Blog
Why AI Code Assistants Waste Your Context Window — and How RAG Fixes It
→
Deep Dive · Blog
DPDP Act 2023 + AI/LLM: Automating Data Principal Requests in India — 7,000-word technical guide
→