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Vector DBFreeOpen Source
ZVEC
A lightweight, lightning-fast, in-process vector database
Apache-2.0
ABOUT
Production vector search often requires running a separate server process (Pinecone, Qdrant, Weaviate), adding operational complexity, latency, and cost for edge or embedded scenarios. Zvec solves this by embedding directly into the application as a lightweight library — no server, no network calls — while still providing production-grade durability through write-ahead logging, concurrent multi-process reads, and structured metadata filtering across platforms.
INSTALL
pip install zvec
npm install @zvec/zvec
INTEGRATION GUIDE
1. Embed vector similarity search inside serverless or edge applications without a server process
2. Build local-first RAG applications on laptops, edge devices, or mobile platforms
3. Power AI agent memory backends with a lightweight, in-process vector store
4. Enable on-device semantic search for iOS and Android applications via Dart/Flutter SDK
5. Perform hybrid search combining dense embeddings with structured metadata filters at low latency
TAGS
vector-databaseembeddedin-processhnswsimilarity-searchsemantic-searchragllm-memoryagent-skillslocaledge