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48 changes: 24 additions & 24 deletions docs/tools/vdb_table/data/pinecone.json
Original file line number Diff line number Diff line change
Expand Up @@ -47,8 +47,8 @@
"comment": ""
},
"multi_vec": {
"support": "none",
"source_url": "",
"support": "full",
"source_url": "https://community.pinecone.io/t/multiple-vector-representations-in-pinecone/362",
"comment": ""
},
"sparse_vectors": {
Expand All @@ -57,23 +57,23 @@
"comment": "Supports all sparse vectors, including BM25 and native support for SPLADE vectors"
},
"bm25": {
"support": "none",
"source_url": "",
"support": "full",
"source_url": "https://github.com/pinecone-io/pinecone-text",
"comment": ""
},
"full_text": {
"support": "none",
"source_url": "",
"support": "full",
"source_url": "https://docs.pinecone.io/guides/search/lexical-search",
"comment": ""
},
"embeddings_text": {
"support": "partial",
"source_url": "https://github.com/pinecone-io/canopy",
"support": "full",
"source_url": "https://docs.pinecone.io/models/overview",
"comment": ""
},
"embeddings_image": {
"support": "none",
"source_url": "",
"support": "full",
"source_url": "https://docs.pinecone.io/models/overview",
"comment": ""
},
"embeddings_structured": {
Expand All @@ -82,8 +82,8 @@
"comment": ""
},
"rag": {
"support": "",
"source_url": "",
"support": "full",
"source_url": "https://www.pinecone.io/learn/retrieval-augmented-generation/",
"comment": ""
},
"recsys": {
Expand Down Expand Up @@ -112,7 +112,7 @@
"comment": "Includes free tier"
},
"in_process": {
"support": "none",
"support": "",
"source_url": "",
"comment": ""
},
Expand All @@ -122,9 +122,9 @@
"comment": "via namespaces"
},
"disk_index": {
"support": "",
"source_url": "",
"comment": ""
"support": "full",
"source_url": "https://www.pinecone.io/blog/evolving-pinecone-for-knowledgeable-ai/",
"comment": "Intelligent storage tiering between RAM, disk, and object storage"
},
"ephemeral": {
"support": "none",
Expand All @@ -139,21 +139,21 @@
"doc_size": {
"bytes": 40000,
"unlimited": false,
"source_url": "https://docs.pinecone.io/docs/limits",
"comment": ""
"source_url": "https://docs.pinecone.io/reference/api/database-limits#upsert-limits",
"comment": "This is the maximum metadata size per record; there is no limit on the size of documents from which you can create vectors."
},
"vector_dims": {
"value": 20000,
"unlimited": false,
"source_url": "https://docs.pinecone.io/docs/limits",
"source_url": "https://docs.pinecone.io/reference/api/database-limits#upsert-limits",
"comment": ""
},
"index_types": {
"value": [
"FreshDiskANN"
"Dynamic algorithm selection"
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this is a comma separated string list of values from

- can you list the algorithms you support (and dynamically chose from)? I assume that the user can force a selection if they desire? worth elaborating on that in the comment potentially

],
"source_url": "https://www.pinecone.io/blog/hnsw-not-enough/#:~:text=its%20similarities%20end.-,FreshDiskANN,-PGA%20is%20based",
"comment": "Proprietary variant of Microsoft's Vamana"
"source_url": "https://www.pinecone.io/blog/optimizing-pinecone/",
"comment": "Indexing strategy adapts to workload and data size, choosing lightweight projection-based algorithms for small datasets and more advanced partition or graph-based methods as data grows."
},
"github_stars": {
"value": 0,
Expand All @@ -168,8 +168,8 @@
"value_90_days": 0
},
"pypi_downloads": {
"value": 51182990,
"source_url": "https://pypi.org/project/pinecone-client/",
"value": 47744166,
"source_url": "https://pypi.org/project/pinecone/",
"comment": "",
"value_90_days": 10821312
},
Expand Down
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