// Search & vector stores
deeplakev4.5.2
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Open source Maintained For agents
OFFICIAL DOWNLOADDirect official link
v4.5.2 · 2026-02-11
Every button links straight to the official file (github.com). AIMap does not host or modify installers. Checked 2026-10-23. All files, checksums & install steps →
IN ONE PARAGRAPH
deeplake is deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Good for: Developers who want their agent (Claude Code, Codex, Cursor…) to search & vector stores.
01How to start
- 1Read the official README for requirements and permissions.
- 2Install it from the official package registry:
pip install deeplake - 3Tell your agent the command exists (e.g. in AGENTS.md / CLAUDE.md) so it knows when to call it.
02Alternatives & comparison
Compare side by side → txtai 💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows ★ 13k llm-app Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more. ★ 59k quivr An open-source engine that turns continuous content streams into search and monitoring. Durable ingestion, hybrid search, alerts, and plugins for formats, models and business rules. ★ 40k onyx Open Source AI Platform - AI Chat with advanced features that works with every LLM ★ 33k vespa The AI search platform ★ 7.1k