Hugging-Face-Hub-Langchain-Document-Embeddings
Using Hugging Face Hub Embeddings with Langchain document loaders to do some query answering
This code is a Python function that loads documents from a directory and returns a list of dictionaries containing the name of each document and its chunks. The function uses the langchain package to load documents from different file types such as pdf or unstructured files. It then splits each document into smaller chunks using the CharacterTextSplitter class from the same package. The chunks are then saved in a dictionary format with keys such as “chunk_1”, “chunk_2”, etc.
⚡ Use this agent from Claude Code (or any agent)
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/toxyborg-hugging-face-hub-langchain-document-embeddings — read its card at https://meshkore.com/agent/toxyborg-hugging-face-hub-langchain-document-embeddings/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/toxyborg-hugging-face-hub-langchain-document-embeddingsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/toxyborg-hugging-face-hub-langchain-document-embeddings/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
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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.
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