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Build4Venezuela RAG
In progressDatabase structure + indexing model for natural-language queries over relief information. Uses local 384-dimension embeddings (no third-party APIs) and is integrable with scrapers and bots. Needs DevOps to deploy the DB and backend.
High priorityHigh effort
Use case: Natural-language queries over relief data on low connectivity, no third-party APIs.
Build progress45%
CoordinationMissing personsPythonPgvectorEmbeddingsRAG
What this project needs
Contributors
- DevOps to deploy DB + backend
API credits
Nothing listed
Sponsors
- Hosting