Embedded vector store for local-first AI
PulseGate's liveness check found it on 14 Oct 2026; it is registered on GitHub, the App Store and PyPI and has been in the index since 26 Jun 2026. How this is checked
vectlite is an open-source, embedded vector database designed for local-first AI applications. It supports dense and sparse hybrid search, single-file storage, and robust metadata filtering, with bindings for Rust, Python, and Node.js. Ideal for developers needing efficient, serverless vector storage for AI workloads.
Inferred · not functionally tested
Overview
5 featuresPurpose: Lack of a lightweight, local vector database for AI applications without server dependencies.
Inferred · not functionally tested
Audience: AI developers and researchers
Inferred · not functionally tested
Functions: Unknown
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI, API · deployment: cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: vectlite.mcsedition.org · github.com. These links do not verify the individual claims.
Embedded vector store for local-first AI sits in PulseGate's Databases (SQL, NoSQL, vector, graph) category. Inferred · not functionally tested: Lack of a lightweight, local vector database for AI applications without server dependencies. Inferred · not functionally tested: It is built as an open-source project for AI developers and researchers. Basis unknown · not verified: Embedded vector store for local-first AI is open source under the MIT license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.
Embedded vector store for local-first AI first shipped in 2026. Development happens publicly on GitHub with 47 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are hybrid search, single-file storage, and bulk ingestion. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Hybrid search
- Single-file storage
- Bulk ingestion
- Rich metadata filters
- Transactions
Topics: Inferred · not functionally tested
Built with & integrations
- Cloudflare
- cf-ray header · cf-cache-status header
Trust & compliance
Indexing history
2What PulseGate has recorded for this listing
Frequently asked questions about Embedded vector store for local-first AI
- What is Embedded vector store for local-first AI?
- Inferred · not functionally tested: Lack of a lightweight, local vector database for AI applications without server dependencies. It is catalogued under Databases (SQL, NoSQL, vector, graph) on PulseGate.
- Who is Embedded vector store for local-first AI for?
- Inferred · not functionally tested: Embedded vector store for local-first AI is an open-source project built for AI developers and researchers.
- Does Embedded vector store for local-first AI have a free plan?
- Basis unknown · not verified: Yes — Embedded vector store for local-first AI is open source under the MIT license and free to use.
- What platforms does Embedded vector store for local-first AI run on?
- Basis unknown · not verified: Embedded vector store for local-first AI runs on the command line. It can also be self-hosted.
- Is Embedded vector store for local-first AI still active?
- PulseGate's liveness check found it on 14 Oct 2026. Its GitHub repository shows 47 commits in the last 90 days.
- How long has Embedded vector store for local-first AI been around?
- Embedded vector store for local-first AI first shipped in 2026.
- Is Embedded vector store for local-first AI open source?
- Basis unknown · not verified: Yes — Embedded vector store for local-first AI is open source under the MIT license, developed on GitHub.
- Does Embedded vector store for local-first AI have an API or integrations?
- Inferred · not functionally tested: Yes — Embedded vector store for local-first AI exposes a public API.
Similar projects
Closest matches by what these projects do