The FieldType::Binary enables binary data (images, audio, video, PDFs ...) to be stored as base64 directly in JSON or CSV documents—no external URLs required.
#Search #LexicalSearch #Rust #OSS
github.com/SeekStorm/Se...
The FieldType::Binary enables binary data (images, audio, video, PDFs ...) to be stored as base64 directly in JSON or CSV documents—no external URLs required.
#Search #LexicalSearch #Rust #OSS
github.com/SeekStorm/Se...
#Search #LexicalSearch #Rust #OSS
github.com/SeekStorm/Se...
#Search #LexicalSearch #Rust #OSS
github.com/SeekStorm/Se...
#Search #LexicalSearch #Rust #OSS
github.com/SeekStorm/Se...
#Search #LexicalSearch #Rust #OSS
github.com/SeekStorm/Se...
Release notes
github.com/SeekStorm/Se...
Blog post
seekstorm.com/blog/query-a...
#Search #LexicalSearch #Rust #OSS
Release notes
github.com/SeekStorm/Se...
Blog post
seekstorm.com/blog/query-a...
#Search #LexicalSearch #Rust #OSS
🔷Misspelled terms: 𝗯𝗹𝘂 𝗸𝘂𝗿𝗮 ➔ 𝗯𝗹𝘂𝗲 𝗰𝘂𝗿𝗮𝗰𝗮𝗼
🔷Missing spaces: 𝗺𝗼𝗱𝗲𝗿𝗻𝗮𝗿𝘁 ➔ 𝗺𝗼𝗱𝗲𝗿𝗻 𝗮𝗿𝘁
🔷Differing order of query and completion: 𝘂𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗱𝗿𝗲 ➔ 𝗱𝗿𝗲𝘀𝗱𝗲𝗻 𝘂𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗼𝗳 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆
🔷Out-of-vocabulary: 𝘁𝗲𝗮𝗹 𝗺𝗲𝗿𝗶𝗻𝗼 𝗰𝗮𝗿𝗱𝗶 ➔ 𝗺𝗲𝗿𝗶𝗻𝗼 𝗰𝗮𝗿𝗱𝗶𝗴𝗮𝗻
🔷Misspelled terms: 𝗯𝗹𝘂 𝗸𝘂𝗿𝗮 ➔ 𝗯𝗹𝘂𝗲 𝗰𝘂𝗿𝗮𝗰𝗮𝗼
🔷Missing spaces: 𝗺𝗼𝗱𝗲𝗿𝗻𝗮𝗿𝘁 ➔ 𝗺𝗼𝗱𝗲𝗿𝗻 𝗮𝗿𝘁
🔷Differing order of query and completion: 𝘂𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗱𝗿𝗲 ➔ 𝗱𝗿𝗲𝘀𝗱𝗲𝗻 𝘂𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗼𝗳 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆
🔷Out-of-vocabulary: 𝘁𝗲𝗮𝗹 𝗺𝗲𝗿𝗶𝗻𝗼 𝗰𝗮𝗿𝗱𝗶 ➔ 𝗺𝗲𝗿𝗶𝗻𝗼 𝗰𝗮𝗿𝗱𝗶𝗴𝗮𝗻
#Search #LexicalSearch #Rust #OSS
#Search #LexicalSearch #Rust #OSS
Updated benchmarks with popular alternatives show 7x faster query latency & 17x faster tail latency (P99).
github.com/SeekStorm/Se...
Updated benchmarks with popular alternatives show 7x faster query latency & 17x faster tail latency (P99).
github.com/SeekStorm/Se...
N-Gram indexing improved avg. phrase query latency by a factor of 2.18 (118%),
p99.9 tail latency by a factor of 7.63 (663%),
and some phrase queries up to 3 orders of magnitude.
seekstorm.com/blog/n-gram-...
github.com/SeekStorm/Se...
N-Gram indexing improved avg. phrase query latency by a factor of 2.18 (118%),
p99.9 tail latency by a factor of 7.63 (663%),
and some phrase queries up to 3 orders of magnitude.
seekstorm.com/blog/n-gram-...
github.com/SeekStorm/Se...
github.com/SeekStorm/Se...
#Search #LexicalSearch #Rust #OSS
github.com/SeekStorm/Se...
#Search #LexicalSearch #Rust #OSS
hub.docker.com/r/wolfgarbe/...
#search #LexicalSearch #OpenSource #Rust #Docker
hub.docker.com/r/wolfgarbe/...
#search #LexicalSearch #OpenSource #Rust #Docker
seekstorm.apidocumentation.com
#Search #LexicalSearch #Rust #OpenSource
seekstorm.apidocumentation.com
#Search #LexicalSearch #Rust #OpenSource
github.com/SeekStorm/Se...
#Search #WordSegmentation #LexicalSearch #Rust #OSS
github.com/SeekStorm/Se...
#Search #WordSegmentation #LexicalSearch #Rust #OSS
github.com/SeekStorm/Se...
#Search #FacetedSearch #LexicalSearch #Rust #OSS
github.com/SeekStorm/Se...
#Search #FacetedSearch #LexicalSearch #Rust #OSS
github.com/SeekStorm/Se...
#Search #LexicalSearch #OpenSource #Rust
github.com/SeekStorm/Se...
#Search #LexicalSearch #OpenSource #Rust