Library/canopy
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pinecone-io/canopy

canopy

Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone

Builder

pinecone-io

pinecone-io

pinecone-io • individual

Stars

1,030

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Forks

129

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Aug 8, 2023

Project creation date

README Summary

Canopy is a Retrieval Augmented Generation (RAG) framework and context engine built on top of Pinecone vector database. It provides tools and utilities to build RAG applications that can retrieve relevant context from knowledge bases and generate responses using large language models. The framework simplifies the process of creating AI applications that need to ground their responses in external knowledge sources.

AI Dev Skills

Unmapped

Retrieval-Augmented GenerationVector Database OperationsDocument Embedding and IndexingNatural Language ProcessingKnowledge Base ConstructionPrompt EngineeringChat Interface Development

Tags

Retrieval-Augmented GenerationVector Database OperationsDocument Embedding and IndexingNatural Language ProcessingKnowledge Base ConstructionPrompt EngineeringChat Interface DevelopmentInternal Documentation SearchSelf-hostedTextResearch Assistant ToolsEducationCustomer Support AutomationOn-premiseVector DatabasesCompound AI SystemsCloud APIKnowledge Base ChatbotsDocument Question AnsweringEnterprise SoftwareDeveloper ToolsCustomer SupportPython

Taxonomy

Recent Activity

Updated 1 years ago

7 Days

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30 Days

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90 Days

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Quality

beta
Quality
medium
Maturity
beta

Categories

RAG & RetrievalPrimaryEvals & BenchmarkingNLP & TextDev Tools & AutomationLearning ResourcesEdge & Mobile AISearch & KnowledgeOther AI / MLAI Agents

PM Skills

Product DiscoveryUser Experience

Languages

Python100.0%

Timeline

Project created
Aug 8, 2023
Forked
Mar 21, 2026
Your last push
1 years ago
Upstream last push
1 years ago
Tracked since
Nov 13, 2024

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