feat: embedding service and patch enrichment for semantic context engine#160
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TannerTorrey3 merged 3 commits intodevfrom Apr 10, 2026
Merged
feat: embedding service and patch enrichment for semantic context engine#160TannerTorrey3 merged 3 commits intodevfrom
TannerTorrey3 merged 3 commits intodevfrom
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… engine Phase 1 client-side support for the semantic context engine: - EmbeddingService wrapping Voyage AI API with batch support and per-NodeKind content strategies - enrichPatchWithEmbeddings() post-processor that injects vector embeddings into UpsertNode ops - Enable ArangoDB experimental vector index flag in standalone docker-compose - Add .ix-worktrees/ to gitignore Embeddings are computed at ingestion time and stored in node attrs. Gracefully degrades when VOYAGE_API_KEY is not set — patches pass through unchanged. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Thin CLI client for semantic ingestion: detect source type → fetch content → POST to backend /v1/load. Supports tweets, arxiv papers, PDFs, images, webpages, chat exports, and local files. Remove client-side embedding code (moved to ix-semantic-extraction service). Update docker-compose with ollama + semantic-extraction services. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
EmbeddingServiceclass wrapping Voyage AI API with batch support and per-NodeKind content strategiesenrichPatchWithEmbeddings()post-processor that computes and injects vector embeddings intoUpsertNodepatch ops at ingestion time--experimental-vector-indexflag in standalone docker-compose for native vector index support.ix-worktrees/to gitignoreDesign decisions
Test plan
EmbeddingService.fromEnv()returns null whenVOYAGE_API_KEYis not setenrichPatchWithEmbeddings()passes patches through unchanged without embedding service--experimental-vector-indexflag in standalone mode🤖 Generated with Claude Code