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Zvec

Zvec is a lightweight, lightning-fast, in-process vector database by Alibaba. Built for AI applications with simple APIs, powerful indexing, and zero configuration.

For agents: Zvec, a lightweight in-process vector database by Alibaba for AI apps; docs cover quickstart, concepts, configuration, benchmarks and AI coding agent feeds.

vector databasein-process databasealibabaembeddings searchai applications

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-24T10:27:22.230Z. Cached copy · Source on zvec.org

# Zvec

> Zvec is a lightweight, lightning-fast, in-process vector database by Alibaba. Built for AI applications with simple APIs, powerful indexing, and zero configuration.

Zvec runs entirely in-process — no server, daemon, or external infrastructure required. Just install the package and start indexing and querying vectors. Battle-tested across demanding production workloads within Alibaba Group.

## Docs

- [Documentation overview](https://zvec.org/en/docs/): Product map and recommended starting points for Zvec and Zvec-Grep

### Vector Database

- [Overview](https://zvec.org/en/docs/db/): Introduction, key features, and getting started
- [Quickstart](https://zvec.org/en/docs/db/quickstart/): Install and start searching in minutes
- [AI-Friendly Docs](https://zvec.org/en/docs/db/ai-friendly/): How to feed Zvec docs to AI coding agents
- [Global Configuration](https://zvec.org/en/docs/db/config/): Configure Zvec settings
- [Benchmarks](https://zvec.org/en/docs/db/benchmarks/): Performance benchmarks

#### Concepts

- [Concepts Overview](https://zvec.org/en/docs/db/concepts/): Core concepts of Zvec
- [Data Modeling](https://zvec.org/en/docs/db/concepts/data-modeling/): How Zvec manages vector and scalar data
- [Vector Embedding](https://zvec.org/en/docs/db/concepts/vector-embedding/): Understanding vector representations
- [Vector Index](https://zvec.org/en/docs/db/concepts/vector-index/): Index types overview
  - [Flat Index](https://zvec.org/en/docs/db/concepts/vector-index/flat-index/)
  - [HNSW Index](https://zvec.org/en/docs/db/concepts/vector-index/hnsw-index/)
  - [HNSW-RaBitQ Index](https://zvec.org/en/docs/db/concepts/vector-index/hnsw-rabitq-index/)
  - [IVF Index](https://zvec.org/en/docs/db/concepts/vector-index/ivf-index/)
  - [IVF-RaBitQ Index](https://zvec.org/en/docs/db/concepts/vector-index/ivf-rabitq-index/)
  - [DiskANN Index](https://zvec.org/en/docs/db/concepts/vector-index/diskann-index/)
  - [Quantization](https://zvec.org/en/docs/db/concepts/vector-index/quantization/)
- [Inverted Index](https://zvec.org/en/docs/db/concepts/inverted-index/): Scalar field filtering
- [Full-Text Index](https://zvec.org/en/docs/db/concepts/fts-index/): Text retrieval with tokenization, inverted indexes, and BM25 ranking

#### Collections

- [Collections Overview](https://zvec.org/en/docs/db/collections/): Managing collections in Zvec
- [Create](https://zvec.org/en/docs/db/collections/create/): Create a new collection
  - [Schema](https://zvec.org/en/docs/db/collections/create/schema/): Define collection schema
  - [Options](https://zvec.org/en/docs/db/collections/create/options/): Collection creation options
- [Open](https://zvec.org/en/docs/db/collections/open/): Open an existing collection
- [Inspect](https://zvec.org/en/docs/db/collections/inspect/): Inspect collection metadata
- [Destroy](https://zvec.org/en/docs/db/collections/destroy/): Delete a collection
- [Optimize](https://zvec.org/en/docs/db/collections/optimize/): Optimize coll
…

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