Sentio
Python RAG boilerplate using LangGraph for retrieval-augmented generation.
Implements a retrieval-augmented generation (RAG) pipeline orchestrated with LangGraph and implemented in Python. Includes document ingestion, embedding generation, vector-store integration, retrieval and prompt/LLM orchestration, and Docker artifacts for containerized deployment — suited for prototyping Q&A and document-search apps.
Features
Document Ingestion
Embedding Generation
Vector Store Integration
Retrieval Pipeline
API Endpoints
Pricing
Free plan available
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Developer
👨🏻💻 Chernistry Github Stars
16
Last Commit Date
2025-11-21 (fetched 3 months ago)
Repo URL
chernistry/sentio Technologies
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