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Awesome GitHub RepositoriesDistributed Vector Search Optimizations
Techniques for tuning per-shard candidate counts and merging partial results in clustered vector search deployments.
Distinct from Vector Search: Distinct from Vector Search: focuses specifically on distributed cluster tuning for vector search, not general vector search techniques.
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Awesome Distributed Vector Search Optimizations GitHub Repositories
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- redisearch/redisearch
RediSearch/RediSearch
6,161Auf GitHub ansehenRediSearch is a Redis module that adds secondary indexing, full-text search, aggregation, and vector similarity search directly into the in-memory data store. It operates as an in-process search engine, extending the core key-value store with capabilities for indexing hash and JSON documents, enabling fast field-level lookups beyond primary key access. The module provides a full-text search engine built on inverted indexes, supporting stemming, fuzzy matching, and relevance scoring via tf-idf. It also includes a vector similarity search engine using a Hierarchical Navigable Small World graph
Tunes how many candidates each shard retrieves in a cluster to balance accuracy and performance.
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