DewyKB/dewy

Opinionated knowledge extraction and semantic retrieval for Gen AI applications.

29
/ 100
Experimental

Dewy helps developers building AI applications by streamlining the process of extracting, organizing, and retrieving knowledge from documents. You feed it your unstructured documents, and it handles parsing, chunking, summarizing, and indexing them, outputting semantically searchable content. This enables AI application developers to focus on the core logic of their agents and RAG applications, rather than managing data infrastructure.

No commits in the last 6 months.

Use this if you are a developer building AI agents or RAG applications and want to quickly set up a robust knowledge base without dealing with vector database comparisons or complex data extraction pipelines.

Not ideal if you need to perform multi-modal searches over images or tables right away, as these features are on the roadmap but not yet fully implemented.

AI application development Generative AI Knowledge base Semantic search RAG systems
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 4 / 25

How are scores calculated?

Stars

75

Forks

2

Language

Python

License

Apache-2.0

Last pushed

Mar 26, 2024

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/rag/DewyKB/dewy"

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