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Pinecone
Vector DB
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Vector Database
Managed vector database for semantic search, RAG, and similarity at scale. The retrieval backbone of production AI applications.
Dependency Score
74
Compute Intensity
medium
Enforceable Asset
yes
Revenue Stream
Storage + query fees
EXAMPLE JOBS PERFORMED
▸
Semantic document retrieval
▸
Customer knowledge base RAG
▸
Product recommendation similarity
▸
Duplicate detection at scale
▸
Embedding index management
SAMPLE IMPORTED SIGNALS
queries/mo: 284,000
vectors: 1.2M
latency_p99: 45ms
recall@10: 94.2%
DATA TYPES
query_countvector_countindex_sizelatencyrecall_rate
AI ROLES
Retrieval
Fetching relevant context from vector or document stores
Embedding
Converting text/data into vector representations for semantic search
REGISTRY RELEVANCE
Retrieval layer backbone; used in 3 of 5 workflows; enforceability via billing and index ownership records.
Enforceability for AISL
Enforceable
Revenue stream
Storage + query fees, Enterprise
Connected since
11/3/2024
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