1+ {
2+ "name" : " Apache Doris"
3+ "links" : {
4+ "docs" : " https://doris.apache.org/docs/dev/ai/vector-search/"
5+ "github" : " https://github.com/apache/doris"
6+ "website" : " https://doris.apache.org/"
7+ "vendor_discussion" : " https://github.com/superlinked/VectorHub/discussions/575"
8+ "poc_github" : " https://github.com/zhiqiang-hhhh"
9+ "slug" : " Fastest Search & Analytics in One Unified System"
10+ },
11+ "oss" : {
12+ "support" : " full"
13+ "source_url" : " https://doris.apache.org/docs/dev/compute-storage-decoupled/overview/"
14+ "comment" : " "
15+ },
16+ "license" : {
17+ "value" : " Apache 2.0"
18+ "source_url" : " "
19+ "comment" : " "
20+ },
21+ "dev_languages" : {
22+ "value" : [
23+ " java"
24+ " c++"
25+ ],
26+ "source_url" : " https://github.com/apache/doris"
27+ "comment" : " "
28+ },
29+ "vector_launch_year" : 2025 ,
30+ "metadata_filter" : {
31+ "support" : " full"
32+ "source_url" : " https://doris.apache.org/docs/dev/ai/text-search/overview/"
33+ "comment" : " "
34+ },
35+ "hybrid_search" : {
36+ "support" : " full"
37+ "source_url" : " https://doris.apache.org/docs/dev/ai/vector-search#ann-search-with-additional-filters"
38+ "comment" : " "
39+ },
40+ "facets" : {
41+ "support" : " full"
42+ "source_url" : " https://doris.apache.org/docs/dev/ai/vector-search#approximate-range-search"
43+ "comment" : " Doris has full support for SQL. You can use standard SQL syntax to perform faceted search on vector data."
44+ },
45+ "geo_search" : {
46+ "support" : " full"
47+ "source_url" : " https://doris.apache.org/docs/dev/sql-manual/basic-element/sql-data-types/semi-structured/GEO"
48+ "comment" : " "
49+ },
50+ "multi_vec" : {
51+ "support" : " full"
52+ "source_url" : " "
53+ "comment" : " You can create a teble with multiple vector columns to store different types of vectors."
54+ },
55+ "sparse_vectors" : {
56+ "support" : " none"
57+ "source_url" : " "
58+ "comment" : " "
59+ },
60+ "bm25" : {
61+ "support" : " full"
62+ "source_url" : " https://doris.apache.org/docs/dev/ai/text-search/scoring"
63+ "comment" : " "
64+ },
65+ "full_text" : {
66+ "support" : " full"
67+ "source_url" : " https://doris.apache.org/docs/dev/ai/text-search/search-operators"
68+ "comment" : " "
69+ },
70+ "embeddings_text" : {
71+ "support" : " full"
72+ "source_url" : " https://doris.apache.org/docs/4.x/sql-manual/sql-functions/ai-functions/distance-functions/embed/"
73+ "comment" : " You can convert text to embeddings using built-in AI functions."
74+ },
75+ "embeddings_image" : {
76+ "support" : " "
77+ "source_url" : " "
78+ "comment" : " "
79+ },
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115+ "in_process" : {
116+ "support" : " none"
117+ "source_url" : " "
118+ "comment" : " "
119+ },
120+ "multi_tenancy" : {
121+ "support" : " full"
122+ "source_url" : " https://doris.apache.org/blog/multi-tenant-workload-isolation-in-apache-doris/"
123+ "comment" : " "
124+ },
125+ "disk_index" : {
126+ "support" : " full"
127+ "source_url" : " https://doris.apache.org/docs/4.x/ai/vector-search#approximate-nearest-neighbor-search"
128+ "comment" : " Via Faiss"
129+ },
130+ "ephemeral" : {
131+ "support" : " none"
132+ "source_url" : " "
133+ "comment" : " "
134+ },
135+ "sharding" : {
136+ "support" : " full"
137+ "source_url" : " "
138+ "comment" : " Support partitioning and sharding for tables with vector columns"
139+ },
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141+ "bytes" : 0 ,
142+ "unlimited" : true ,
143+ "source_url" : " "
144+ "comment" : " "
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148+ "unlimited" : true ,
149+ "source_url" : " "
150+ "comment" : " "
151+ },
152+ "int8_quantization" : {
153+ "support" : " full"
154+ "source_url" : " https://doris.apache.org/docs/4.x/ai/vector-search#vector-quantization"
155+ "comment" : " "
156+ },
157+ "index_types" : {
158+ "value" : [
159+ " HNSW"
160+ " IVF"
161+ " FLAT"
162+ ],
163+ "source_url" : " https://doris.apache.org/docs/4.x/ai/vector-search#approximate-nearest-neighbor-search"
164+ "comment" : " via Faiss"
165+ },
166+ "github_stars" : {
167+ "value" : 14600 ,
168+ "source_url" : " https://github.com/ClickHouse/ClickHouse"
169+ "comment" : " "
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171+ },
172+ "docker_pulls" : {
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196+ }
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