Codelab-Davis/Anchor

[task] Preserve document metadata in ingestion pipeline tests about 1 month ago

help wanted area: tests kind: maintenance status: ready-for-work

4

Grounding AI models in verifiable context

Python

[task] Add metadata passthrough to Ingestor.ingest about 1 month ago

help wanted area: source kind: feature needs: duplicate-review status: in-progress

Codelab-Davis/Anchor

4

Grounding AI models in verifiable context

Python

[task] Define source path convention for ingested files about 1 month ago

help wanted area: docs kind: maintenance status: in-progress

Codelab-Davis/Anchor

4

Grounding AI models in verifiable context

Python

[task] Add public Anchor.ingest_file(path) API about 1 month ago

help wanted area: source kind: feature needs: duplicate-review status: in-progress

Codelab-Davis/Anchor

4

Grounding AI models in verifiable context

Python

[task] Add Python source-code extractor about 2 months ago

help wanted area: source kind: feature needs: duplicate-review status: ready-for-work

Codelab-Davis/Anchor

4

Grounding AI models in verifiable context

Python

[task] Add source-code format detection about 2 months ago

help wanted area: source kind: feature needs: duplicate-review status: ready-for-work

Codelab-Davis/Anchor

4

Grounding AI models in verifiable context

Python

[task] Add directory ingestion helper for supported text files about 2 months ago

help wanted area: source kind: feature needs: duplicate-review status: ready-for-work

Codelab-Davis/Anchor

4

Grounding AI models in verifiable context

Python

[task] Add metadata schema version field for document chunks about 2 months ago

help wanted area: source kind: feature needs: duplicate-review status: ready-for-work

Codelab-Davis/Anchor

4

Grounding AI models in verifiable context

Python

[task] Add chunk index and chunk count metadata for document ingestion about 2 months ago

help wanted area: source kind: feature needs: duplicate-review status: ready-for-work

Codelab-Davis/Anchor

4

Grounding AI models in verifiable context

Python

[task] Add Markdown line and character range metadata about 2 months ago

help wanted area: source kind: feature needs: duplicate-review status: ready-for-work

Codelab-Davis/Anchor

4

Grounding AI models in verifiable context

Python

[task] Research document chunking strategies 2 months ago

good first issue help wanted area: source kind: maintenance status: in-progress

Codelab-Davis/Anchor

4

Grounding AI models in verifiable context

Python

[task] Research document ingestion libraries 2 months ago

good first issue help wanted area: source kind: maintenance status: in-progress

Codelab-Davis/Anchor

4

Grounding AI models in verifiable context

Python

[task] Design interaction trace schema for debugging 2 months ago

good first issue help wanted area: source kind: feature status: in-progress

Codelab-Davis/Anchor

4

Grounding AI models in verifiable context

Python

[task] Define metadata schema for ingested chunks 3 months ago

help wanted area: source kind: maintenance status: in-progress

Codelab-Davis/Anchor

4

Grounding AI models in verifiable context

Python

[task] Add file-based run logs for Anchor loop decisions 3 months ago

help wanted area: source kind: feature status: in-progress

Codelab-Davis/Anchor

4

Grounding AI models in verifiable context

Python

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