Canopy
An open-source framework for building retrieval-augmented generation applications with support for multiple embedding and language models
- Vendor
- GitHub
- Also known as
- canopy
Available worldwide · Popular in: US, EU
What is Canopy?
Canopy is an open-source framework that simplifies building RAG applications by handling chunking, embedding, vector storage, chat history, and context retrieval. It provides a CLI tool to interactively evaluate your RAG workflows against non-RAG responses.
Canopy pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Free tier available. Usage-based Codespaces pricing starting at $0.18/hour compute and $0.07/GB storage. Enterprise plans available.
Free
FreePublic repository hosting with basic collaboration and continuous integration features
- ci_cd_minutes_per_month
- 2000
- Public repositories
- 2000 CI/CD minutes per month
- Pull request collaboration
- Project wiki
- Dependabot vulnerability alerts
Codespaces
Cloud-based development environments
Enterprise Cloud
Contact salesMulti-tenant cloud solution with regional deployment and advanced administration features
What Canopy does
The capabilities that matter for rag tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Hybrid retrieval
- ✓
- Reranking integration
- ✓
- Multi hop agentic retrieval
- -
- Embedding provider agnostic
- ✓
- LLM provider agnostic
- ✓
- Built in rag eval metrics
- ✓
- Citation attribution
- ✓
- Multimodal rag
- -
- Managed ingestion pipeline
- ✓
- Open source
- ✓
Platform & deployment
Independently observed- CLI
- Cloud / SaaS
- Self-hosted
Integrations (34)
Independently observed- CircleCI
- Azure Pipelines
- Codemagic
- Render
- CodeRabbit
- Linear
- PullRequest
- Zenhub
- Zube
- Codecov
- Codacy
- CodeFactor
- Coveralls
- Qlty Cloud
- DeepScan
- GuardRails
- Rollbar
- Mergify
- Imgbot
- WakaTime
- Argos Visual Testing
- POEditor
- Codemagic CI/CD
- LovableBot
- OpenCode
- SentenceTransformers→•
- Pinecone
- Qdrant
- OpenAI
- OctoAI
- Cohere
- Anyscale
- Azure OpenAI
- Google Cloud Run
Security & compliance
Independently observed- SOC 2 Type 2 · Type 2active · AICPA
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Canopy FAQ
Common questions about Canopy, answered from independent, dated evidence.
What is Canopy?
A modular RAG framework that handles document ingestion, embedding, storage in vector databases, and context-aware chat interactions. Built on Pinecone and compatible with multiple LLM providers, it automates the heavy lifting of chunking, embedding, retrieval, and prompt engineering for AI applications. It is indexed under RAG Tools.
Source: https://github.com/pricing
Is Canopy free to use?
Canopy is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.
Source: https://github.com/pricing
What platforms does Canopy support?
Canopy supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://github.com/pricing
Can Canopy be self-hosted?
Yes. Canopy can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://github.com/pricing
What does Canopy integrate with?
We have confirmed 7 integrations for Canopy, including Pinecone, Qdrant, OpenAI, OctoAI, Cohere, Anyscale and Google Cloud Run. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://github.com/pricing
Is Canopy open source?
Yes. Canopy is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Canopy alternatives
Other rag tools we track, ranked by the same independent score.
- LightRAGA lightweight framework that combines knowledge graphs and vector embeddings for efficient information retrievalmedium · 53%
- RagieA managed AI context platform for agents, assistants, and applicationsmedium · 73%
- Amazon Bedrock Knowledge BasesA managed service connecting AI applications to enterprise data with automatic indexing and retrievalmedium · 74%
- PathwayA streaming data framework for building real-time AI and ML applicationslow · 35%
- Ragaslow · 32%
- RAGFlowAn open-source platform combining retrieval-augmented generation with AI agent capabilities to provide contextual support for language modelslow · 9%
Compare Canopy
Side by side against other rag tools, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Canopy, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Release cadence | 98 | 0.08 | 8.0 | ✓ |
| Capabilities | 96 | 0.08 | 7.7 | ✓ |
| Security posture | 45 | 0.12 | 5.5 | ✓ |
| Stars | 57 | 0.05 | 2.7 | ✓ |
| Integrations | 40 | 0.05 | 2.2 | ✓ |
| Dependent projects | 0 | 0.05 | 0.0 | ✓ |
| Development activity | 0 | 0.14 | 0.0 | ✓ |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 0 | mediumsource · 2026-08-24 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 6 items | mediumsource · 2026-09-10 · 66% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Open source, Soc2 type ii, Hybrid retrieval, Citation attribution, Llm provider agnostic, Reranking integration, Built in rag eval metrics, Managed ingestion pipeline, Embedding provider agnostic | mediumsource · 2026-10-15 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 24 | mediumsource · 2026-09-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-10-15 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-10-15 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-10-15 · 75% |
Pricing
Release
Security
| Attribute | Value | Evidence |
|---|---|---|
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=go&package_name=github.com%2Fpinecone-io%2Fcanopy&per_page=100 · Last 12m: 0 | highsource · 2026-10-15 · 90% |
| Certifications | SOC 2 Type 2 | mediumsource · 2026-09-14 · 60% |
| Fedramp | Yes | highsource · 2026-09-14 · 75% |
| Soc2 | Yes | highsource · 2026-09-14 · 75% |
| Trust center | https://github.com/security | mediumsource · 2026-10-15 · 60% |
| Gdpr | Yes | highsource · 2026-09-14 · 75% |
Is Canopy the right choice for you?
Tell us the job, the constraints and what you weigh most, and we will rank Canopy against the rest of the rag tools we index, using the same dated evidence weighted your way.
Free to run, no account needed to start. How the evaluation works
Is this your product?
This profile was built from public sources without asking you. You can take the badge below and use it anywhere, and you can claim the profile to correct anything we got wrong. Both are free, and neither moves Canopy up or down: nobody can buy rank here, including you.
Take the badge
Live, always current, and free to use on your own site. It shows Canopy's independent score and links back to this profile.
<a href="https://www.vioscale.ai/software/canopy" target="_blank" rel="noopener">
<img src="https://www.vioscale.ai/badge/software/canopy.svg" alt="Canopy, verified on vioscaleAI" width="330" height="76" loading="lazy" />
</a>Markdown, for a README →
[](https://www.vioscale.ai/software/canopy)Claim the profile
Verify you control the domain, then point us at the pages that state the facts about Canopy and add your own description and media. Free, and it does not change the score.
- Correct anything wrong, with evidence
- Point our crawler at the pages that matter
- Write your own description and add media
Not the owner? How vendor profiles work