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2 repositorios

Awesome GitHub RepositoriesIndexed Batch Writes

Combines multiple mutations into a single indexed batch for efficient, concurrent commit processing in a storage engine.

Distinct from Batch Data Operations: Distinct from Batch Data Operations: focuses on indexed batches that enable concurrent commit processing, not general bulk modifications.

Explore 2 awesome GitHub repositories matching data & databases · Indexed Batch Writes. Refine with filters or upvote what's useful.

Awesome Indexed Batch Writes GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • cockroachdb/pebbleAvatar de cockroachdb

    cockroachdb/pebble

    5,777Ver en GitHub↗

    Pebble is an embedded key-value storage engine written in Go, designed as a library that provides durable, write-optimized data persistence directly within applications. It organizes data using a log-structured merge-tree (LSM-tree) structure, where writes are first buffered in an in-memory skiplist memtable and persisted to a write-ahead log before being flushed to block-based SSTable files on disk. The engine supports atomic batch commits, configurable write synchronization, and automatic background compaction that merges and rewrites sorted runs to reclaim space and maintain read performanc

    Combines multiple mutations into a single indexed batch for efficient, concurrent commit processing.

    Go
    Ver en GitHub↗5,777
  • volcengine/openvikingAvatar de volcengine

    volcengine/OpenViking

    2,993Ver en GitHub↗

    OpenViking is a multi-tenant context server and knowledge base administration system designed to provide AI agents with persistent long-term memory. It enables the indexing of diverse documents and codebases to support retrieval-augmented generation, allowing agents to recall past interactions, user preferences, and learned experiences across sessions. The project is distinguished by its use of a URI-based virtual filesystem to organize memories, resources, and skills. It implements a tiered context loading system that balances retrieval precision with token budgets by structuring data into a

    Increases throughput during local index construction by grouping multiple text strings into single encoding operations.

    Pythonagentagentic-ragai-agents
    Ver en GitHub↗2,993
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Explorar subetiquetas

  • Embedding BatchingGrouping multiple text strings into a single encoding operation to optimize throughput for vectorization. **Distinct from Indexed Batch Writes:** Distinct from Indexed Batch Writes: focuses on the computation stage of embedding generation rather than the storage engine's commit process.