Merge branch 'main' into update-myscale

.github/PULL_REQUEST_TEMPLATE/vdb-table_pr.md

@@ -8,3 +8,4 @@ labels: 'vdb comparison'
 
 ## Checklist before requesting a review
 - [ ] I have followed the [contribution guidelines](https://github.com/superlinked/VectorHub/tree/main/docs/tools/vdb_table)
+- [ ] I have provided a reference for each attribute for which I'm adding a "support" claim.

docs/tools/vdb_table/README.md

@@ -70,7 +70,11 @@ tools/
 
 
 Attributes inside vendorX.json has the following properties
-- `support`: Whose values can be `[ "", "none", "partial", "full" ]` indicating on confidence levels, for that attribute support.
+- `support`: Whose values can be `[ "", "none", "partial", "full" ]` indicating on confidence levels, for that attribute support. NOTE: Each change where a "support" claim is being added MUST include  either i) a reference to documentation, ii) an example of the functionality being described, or iii) a link to the actual code implementing the specific functionality.
+    - `""` means the cell will be blank. 
+    - `"none"` means the cell will have a ❌. 
+    - `"partial"` means the cell will have a 🟨.
+    - `"full"` means the cell will have a ✅.
 - `value`: `license` and `dev_languages` have this property to support values about license details and languages (as a list).
 - `source_url`: To provide documentation links, or evidence supporting the attribute values. It is shown as the 'external link' button in the cell.
 - `comment`: Any other useful information that will be shown on hover and with the info icon.

docs/tools/vdb_table/data/txtai.json

@@ -2,7 +2,7 @@
   "name": "txtai",
   "links": {
     "docs": "https://neuml.github.io/txtai/",
-    "github": "https://neuml.github.io/txtai/",
+    "github": "https://github.com/neuml/txtai",
     "website": "https://neuml.github.io/txtai/",
     "vendor_discussion": "https://github.com/superlinked/VectorHub/discussions/86",
     "poc_github": "https://github.com/davidmezzetti",
@@ -25,7 +25,7 @@
     "source_url": "",
     "comment": ""
   },
-  "github_stars": 5500,
+  "github_stars": 5972,
   "vector_launch_year": 2020,
   "metadata_filter": {
     "support": "full",
@@ -113,19 +113,19 @@
     "comment": ""
   },
   "in_process": {
-    "support": "none",
+    "support": "full",
     "source_url": "",
-    "comment": ""
+    "comment": "txtai embeddings indexes can be loaded and run directly in a Python application"
   },
   "multi_tenancy": {
     "support": "",
     "source_url": "",
     "comment": ""
   },
   "disk_index": {
-    "support": "",
-    "source_url": "",
-    "comment": ""
+    "support": "partial",
+    "source_url": "https://neuml.github.io/txtai/embeddings/configuration/ann/#faiss",
+    "comment": "txtai embeddings indexes support on disk operations via mmap"
   },
   "ephemeral": {
     "support": "full",
@@ -149,4 +149,4 @@
     "source_url": "",
     "comment": ""
   }
-}
+}

docs/tools/vdb_table/vendor.schema.json

@@ -30,7 +30,7 @@
     "pricing": {"allOf": [{"$ref": "#/$defs/stringWithSource"}], "$comment": "Ops | Pricing | The pricing models very widely, so this field is unstructured and ideally points to a pricing page." },
     "in_process": {"allOf": [{"$ref": "#/$defs/featureWithSource"}], "$comment": "Ops | In-process | Ability to run embedded within the application process, which leads to a simpler deployment and management in situations when the whole workload fits into one machine." },
     "multi_tenancy": {"allOf": [{"$ref": "#/$defs/featureWithSource"}], "$comment": "Ops | Multi-Tenant | Multi-tenancy - the ability to store multiple isolated indexes within one database instance." },
-    "disk_index": {"allOf": [{"$ref": "#/$defs/featureWithSource"}], "$comment": "Ops | Disk Index | Ability to store the vector index state on disk." },
+    "disk_index": {"allOf": [{"$ref": "#/$defs/featureWithSource"}], "$comment": "Ops | Disk Index | The vector search index can be held on disk while in use, as opposed to holding it in RAM, which makes the management of large indices more affordable." },
     "ephemeral": {"allOf": [{"$ref": "#/$defs/featureWithSource"}], "$comment": "Ops | Ephemeral Index | Ephemeral index support without a server." },
     "sharding": {"allOf": [{"$ref": "#/$defs/featureWithSource"}], "$comment": "Ops | Sharding | The search index is sharded across multiple machines." },
     "doc_size": {"allOf": [{"$ref": "#/$defs/bytesWithSource"}], "$comment": "Ops | Document Size | Maximum size of a stored document." },