feat: Pinecone knowledge backend (revives #238 as contract-compliant built-in) - #438
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esafwan wants to merge 4 commits into
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feat: Pinecone knowledge backend (revives #238 as contract-compliant built-in)#438esafwan wants to merge 4 commits into
esafwan wants to merge 4 commits into
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Built-in pinecone backend on LlamaIndexBackend via llama-index-vector-stores-pinecone (0.8.0, pinecone <8,>=7): - pinecone_backend.py: config validation (API key from advanced_config or PINECONE_API_KEY env, index-name rules, dimension, cloud/region), serverless index auto-creation with cosine metric, per-site/per-source namespace isolation plus site_name/knowledge_source metadata filters, delete_chunks via count-then-delete_nodes, clear via namespace purge, get_stats via describe_index_stats, advanced-config schema with plaintext-warning on the API key. - Registered as built-in: backend registry, Knowledge Source options and vector depends_on lists, VECTOR_KNOWLEDGE_TYPES, knowledge_source.js, indexer vector tuple, hooks.py comment, BACKEND_CONTRACT.md. - pyproject: llama-index-vector-stores-pinecone dependency. - 32 mocked unit tests (backend + registry), zvec-test style.
…dge-backend # Conflicts: # huf/ai/knowledge/backends/BACKEND_CONTRACT.md # huf/ai/knowledge/backends/__init__.py # huf/ai/knowledge/indexer.py # huf/hooks.py # huf/huf/doctype/knowledge_source/knowledge_source.js # huf/huf/doctype/knowledge_source/knowledge_source.json # huf/huf/doctype/knowledge_source/knowledge_source.py # pyproject.toml
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feat: Pinecone knowledge backend
Adds Pinecone (serverless cloud vector DB) as a built-in knowledge backend via
llama-index-vector-stores-pinecone0.8.0 (pinecone7.x client; compatible with llama-index-core 0.14.23 + Python 3.14). Revives the closed #238 on the current contract architecture.Design
PineconeBackend(LlamaIndexBackend, KnowledgeBackend), mirroringpgvector_backend.py: HUF-side embeddings,site_name+knowledge_sourcemetadata, MetadataFilters on search and deletes.scrub(site)_scrub(source), overridable) — plus mandatory site/source metadata filters on every query/delete (same pattern as pgvector's table+filters).pinecone_api_key(plaintext warning;PINECONE_API_KEYenv fallback),pinecone_index_name(validated),pinecone_namespace,pinecone_cloud(aws/gcp/azure),pinecone_region. Index auto-created with the source's dimension + cosine metric viaServerlessSpec; dimension of existing indexes validated.delete_chunks: count via filtered fetch thendelete_nodes(filters=...);clear: namespace-scopeddelete_all;get_stats:describe_index_stats.Testing (bench
16_kbreg, Frappe 16.27, Python 3.14)ruff check/ruff formatPINECONE_API_KEY; run it with a key set to complete the live-test bar before merge.Dependencies
pyproject.toml:llama-index-vector-stores-pinecone.