4 个仓库
Awesome GitHub RepositoriesVector Data Handling
Management of high-dimensional vector embeddings, including insertion and query construction.
Distinct from Vector Search: Focuses on the data manipulation and storage of vectors rather than the search algorithm itself.
Explore 4 awesome GitHub repositories matching data & databases · Vector Data Handling. Refine with filters or upvote what's useful.
Awesome Vector Data Handling GitHub Repositories
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- redis/redisinsight
redis/RedisInsight
8,556在 GitHub 上查看RedisInsight is a graphical user interface and management tool for browsing, analyzing, and administering Redis databases. It provides a visual environment for exploring key-value data structures, managing database instances, and performing data analysis across different operating systems and deployments. The tool distinguishes itself by providing dedicated visual managers for complex operations, including a vector database manager for configuring embeddings and similarity searches, a query workbench for executing raw commands and Lua scripts, and a performance monitoring dashboard for tracki
Provides tools for batch uploading and monitoring the ingestion of high-dimensional vector embeddings into the database.
TypeScriptdatabase-guiredisredis-gui - mongodb/mongo-go-driver
mongodb/mongo-go-driver
8,506在 GitHub 上查看The mongo-go-driver is a Go library for building applications that integrate with a MongoDB document store. It enables the storage and retrieval of flexible document data by providing a bridge between Go backends and the database. The driver implements specialized capabilities for semantic vector search, allowing the handling and execution of high-dimensional vector data for similarity-based retrieval. It also supports full-text search via linguistic analysis and programmatic search index management. The project covers a broad range of database operations, including document-based CRUD, bulk
Provides capabilities for inserting and managing high-dimensional vector data for semantic search.
Godatabasedrivergo - greptimeteam/greptimedb
GreptimeTeam/greptimedb
5,968在 GitHub 上查看GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without
Accepts vector values as string literals or via a parsing function, converting them into the column's fixed-dimension format.
Rustanalyticscloud-nativedatabase - vdaas/vald
vdaas/vald
1,706在 GitHub 上查看Vald is a distributed, cloud-native search engine designed for high-dimensional vector data. It functions as an approximate nearest neighbor search platform, enabling the identification of similar data points across massive datasets through horizontal scaling and distributed indexing. The system is built for container orchestration environments, utilizing custom resource controllers to automate cluster lifecycle management and infrastructure state. It employs graph-based indexing to perform rapid similarity lookups and supports zero-downtime operations by decoupling index construction from qu
Manages the insertion, deletion, and flushing of high-dimensional vector data into the distributed cluster.
Goanngapproximate-nearest-neighbor-searchcloud
