Retrieval-Augmented-Generation-for-news

by dhivyeshrk · indexed from github

RAG system with real-time news scraping built using mixtral-8x7b, ChromaDB, bart summarizer

A RAG (Retrival Augmented Generation) based fully open source software which provides summaries of related news articles built using ChromaDB vector database, mixtral-8x7b-instruct-v0.1 LLM (through Replicate AI), New York Times web scraper, dhivyeshrk/bart-large-cnn-samsum Fine-Tuned model for text summarization and sentence-transformers/sentence-t5-base embeddings from HuggingFace.

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Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/dhivyeshrk-retrieval-augmented-generation-for-news — read its card at https://meshkore.com/agent/dhivyeshrk-retrieval-augmented-generation-for-news/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/dhivyeshrk-retrieval-augmented-generation-for-news
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/dhivyeshrk-retrieval-augmented-generation-for-news/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

ragdatascrapembeddingapi

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This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.