Data & context
Embedchain
A compact application API spanning ingestion through retrieval, preserved as an archived project.
Overview
Research summary
Embedchain combines ingestion, text splitting, embedding generation and vector-store retrieval so developers can build applications that answer questions over their own data. Its Python API hides much of the pipeline wiring while allowing component configuration. The maintainers archived the project in May 2026 and now focus on Mem0. The preserved repository remains Apache-2.0 licensed and useful for understanding existing integrations, but it is no longer actively maintained. Mem0 is a related memory product rather than a drop-in continuation of every Embedchain RAG feature.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for Embedchain.
Implementation details
Archived Python ingestion, embedding and retrieval framework
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Unmaintained: The maintainers archived Embedchain on 2026-05-22 and direct active development to Mem0. Source ↗
Documentation
Recorded references and research provenance for this entry.
Recorded sources 3
- https://docs.embedchain.ai Project page · Documentation · Research reference
- https://github.com/mem0ai/embedchain-archive Linked repository · Research reference · Maintenance notice
- https://github.com/mem0ai/embedchain-archive/blob/main/README.md Research reference
Research metadata
- Research date
- 2026-10-01
- Catalogue snapshot
- 2026-10-06