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The HierarchicalChunker was treating entire sections as single chunks regardless of paragraph count. This adds SPLIT_BY_PARAGRAPHS strategy that splits on blank lines, merges short paragraphs (<20 words), and falls back to size-based splitting for oversized paragraphs. Also fixes an infinite loop in _chunk_text when overlap sent current_pos backwards on the last chunk. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace the entire Python stack (src/kb_engine/, src/kdd/, tests/, docker/, migrations/) with a single TypeScript/Bun package. The new implementation covers indexing (16 extractors, paragraph chunking, embeddings via @huggingface/transformers), 6 query types (hybrid, graph, impact, semantic, coverage, violations), CLI (citty, 7 subcommands), and MCP server (@modelcontextprotocol/sdk, 7 tools). Key changes: - Runtime: Python 3.11+ → Bun/TypeScript - Graph: FalkorDB/NetworkX → graphology (in-memory) - Vectors: ChromaDB/HNSWLib → brute-force cosine (in-memory) - Embeddings: sentence-transformers → @huggingface/transformers - Storage: SQLite/PostgreSQL → .kdd-index/ JSON artifacts - CLI: Click → citty - MCP: FastMCP (Python) → @modelcontextprotocol/sdk (TS) - Docs: README, architecture doc, CI workflow rewritten; ADRs superseded Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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refactor the complete project to typescript.
Previoulsy we write the specs using our own method.