Snider
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d188b05ad8
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feat: modernise to Go 1.26 iterators and stdlib helpers
Security Scan / security (push) Successful in 10s
Test / test (push) Failing after 39s
Add ChunkMarkdownSeq, QuerySeq, KeywordFilterSeq, ListCollectionsSeq
iterators for streaming. Use slices.SortFunc, slices.Contains,
slices.Collect in mock/query/keyword. Range-over-int in benchmarks.
Co-Authored-By: Gemini <noreply@google.com>
Co-Authored-By: Virgil <virgil@lethean.io>
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2026-02-23 05:36:39 +00:00 |
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Snider
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d8fd067a8c
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feat: Phase 3 enhancements — sentence splitting, collection helpers, keyword filter, benchmarks
3.1: Sentence-aware chunk splitting at ". ", "? ", "! " boundaries when
paragraphs exceed ChunkConfig.Size. Overlap now aligns to word boundaries
to avoid mid-word splits.
3.2: VectorStore interface gains ListCollections and CollectionInfo methods.
New collections.go with ListCollections, DeleteCollection, CollectionStats
helpers returning backend-agnostic CollectionInfo. Mock updated accordingly.
3.3: KeywordFilter re-ranks QueryResults by boosting scores for keyword
matches (case-insensitive, +10% per keyword). QueryConfig.Keywords flag
enables automatic extraction and filtering.
3.4: Mock-only benchmarks for chunking, query, ingest, formatting, and
keyword filtering.
Co-Authored-By: Virgil <virgil@lethean.io>
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2026-02-20 08:02:00 +00:00 |
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Claude
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a49761b1ba
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feat: extract Embedder and VectorStore interfaces, add mock-based tests
Phase 2 test infrastructure: extract interfaces to decouple business
logic from external services, enabling fast CI tests without live
Qdrant or Ollama.
- Add Embedder interface (embedder.go) satisfied by OllamaClient
- Add VectorStore interface (vectorstore.go) satisfied by QdrantClient
- Update Ingest, IngestFile, Query to accept interfaces
- Add QueryWith, QueryContextWith, IngestDirWith, IngestFileWith helpers
- Add mockEmbedder and mockVectorStore in mock_test.go
- Add 69 new mock-based tests (ingest: 23, query: 12, helpers: 16)
- Coverage: 38.8% -> 69.0% (135 leaf-level tests total)
Co-Authored-By: Charon <developers@lethean.io>
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2026-02-20 00:15:54 +00:00 |
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Snider
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bf047e4494
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feat: extract go-rag from go-ai as standalone RAG package
Vector search with Qdrant + Ollama embeddings, document chunking.
Zero internal go-ai dependencies. Adds CLAUDE.md/TODO.md/FINDINGS.md.
Co-Authored-By: Virgil <virgil@lethean.io>
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2026-02-19 18:29:59 +00:00 |
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