Comparison
vespa vs deep-searcher
Verdict
Pick vespa if vespa: A Java-based, scalable AI search platform for real-time vector and general data retrieval; pick deep-searcher if deepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license.
Markdown twin · vespa alternatives · deep-searcher alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | vespa | deep-searcher |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3d · github_public_v1 | Slowing (272d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- vespa
- The AI search platform
- deep-searcher
- Open Source Deep Research Alternative to Reason and Search on Private Data.
Stars
- vespa
- 7.1k
- deep-searcher
- 8.1k
Forks
- vespa
- 732
- deep-searcher
- 775
Open issues
- vespa
- 250
- deep-searcher
- 53
Language
- vespa
- Java
- deep-searcher
- Python
Adopt for
- vespa
- Vespa: A Java-based, scalable AI search platform for real-time vector and general data retrieval.
- deep-searcher
- DeepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license.
Persona
- vespa
- -
- deep-searcher
- -
Runtime
- vespa
- -
- deep-searcher
- -
License
- vespa
- Apache-2.0
- deep-searcher
- Apache-2.0
Last pushed
- vespa
- Aug 18, 2026
- deep-searcher
- Nov 19, 2025
Categories
- vespa
- Data & Retrieval, Vector Databases
- deep-searcher
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- vespa
- Very active (96%)
- deep-searcher
- Slowing (36%)
Days since push
- vespa
- 0d
- deep-searcher
- 272d
Open issues (now)
- vespa
- 250
- deep-searcher
- 53
Stars delta
- vespa
- +34 (30d)
- deep-searcher
- +59 (30d)
Open issues delta
- vespa
- +7 (30d)
- deep-searcher
- 0 (30d)
Full report
- vespa
- Trust report
- deep-searcher
- Trust report
Typed relationship
vespa alternative deep-searcherBoth Vespa and deep-searcher are used for performing advanced search operations on large data sets, often including private data, making them direct alternatives.
Choose vespa if…
- vespa is primarily Java; deep-searcher is Python.
- Both Vespa and deep-searcher are used for performing advanced search operations on large data sets, often including private data, making them direct alternatives.
- Tags unique to vespa: ai, big-data, java, machine-learning.
- Also covers Data & Retrieval.
- Real-time indexing is critical
When NOT to use vespa
- Prefer solutions with lower setup complexity
- Team lacks Java expertise or prefers alternative languages
- Require no real-time capabilities and can rely on batch processing
Choose deep-searcher if…
- deep-searcher is primarily Python; vespa is Java.
- Both Vespa and deep-searcher are used for performing advanced search operations on large data sets, often including private data, making them direct alternatives.
- Tags unique to deep-searcher: agent, agentic-rag, deep-research, llm.
- Also covers AI Agents, LLM Frameworks.
- deep-searcher ships Docker support for self-hosted deployment.
- When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3.
When NOT to use deep-searcher
- Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems.
- Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (vespa-engine/vespa) · observed Aug 18, 2026
- GitHub forks (vespa-engine/vespa) · observed Aug 18, 2026
- Last push (vespa-engine/vespa) · observed Aug 18, 2026
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zilliztech/deep-searcher) · observed Aug 18, 2026
- GitHub forks (zilliztech/deep-searcher) · observed Aug 18, 2026
- Last push (zilliztech/deep-searcher) · observed Nov 19, 2025
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: vespa 7.1k · deep-searcher 8.1k (synced Aug 18, 2026).
Common questions
- What is the difference between vespa and deep-searcher?
- vespa: The AI search platform. deep-searcher: Open Source Deep Research Alternative to Reason and Search on Private Data.. See the comparison table for live GitHub stats and shared categories.
- When should I choose vespa over deep-searcher?
- Choose vespa over deep-searcher when vespa is primarily Java; deep-searcher is Python; Both Vespa and deep-searcher are used for performing advanced search operations on large data sets, often including private data, making them direct alternatives; Tags unique to vespa: ai, big-data, java, machine-learning; Also covers Data & Retrieval; Real-time indexing is critical.
- When should I choose deep-searcher over vespa?
- Choose deep-searcher over vespa when deep-searcher is primarily Python; vespa is Java; Both Vespa and deep-searcher are used for performing advanced search operations on large data sets, often including private data, making them direct alternatives; Tags unique to deep-searcher: agent, agentic-rag, deep-research, llm; Also covers AI Agents, LLM Frameworks; deep-searcher ships Docker support for self-hosted deployment; When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3.
- When should I avoid vespa?
- Prefer solutions with lower setup complexity Team lacks Java expertise or prefers alternative languages Require no real-time capabilities and can rely on batch processing
- When should I avoid deep-searcher?
- Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems. Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily.
- Is vespa or deep-searcher more popular on GitHub?
- deep-searcher has more GitHub stars (8,060 vs 7,054). Stars measure visibility, not whether either tool fits your constraints.
- Are vespa and deep-searcher open source?
- Yes - both are open-source projects on GitHub (vespa: Apache-2.0, deep-searcher: Apache-2.0).
- Where can I find alternatives to vespa or deep-searcher?
- GraphCanon lists graph-backed alternatives at vespa alternatives and deep-searcher alternatives (vespa markdown twin, deep-searcher markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, vespa or deep-searcher?
- vespa: Very active. deep-searcher: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for vespa and deep-searcher?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vespa trust report; deep-searcher trust report.