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Apideck Unified API
Apideck Connector
API styles
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Developer docs
API Reference
Webhooks
Webhooks management API
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Sandbox environment
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Authentication
Identity protocols
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SSO / Social login
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OAuth playground
GraphQL playground
API Explorer
Postman / Insomnia collections
OpenAPI/Swagger specs
Free developer account
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App listing requirements
Pagination style
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CLI
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Query Language
Community
GitHub
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Custom object support
Stackoverflow tags
Integrations
Ecosystem
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API pricing
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API rate limits
API changelog
Status page
Open-source
Tutorials
Samples & examples
Base endpoint
GraphQL endpoint
IDE Extensions
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Estimated developers
Estimated customers
Estimated users
1000000000
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This article walks through building a Retrieval-Augmented Generation (RAG) pipeline that goes beyond static vector stores. Instead of pre-indexed documents, it uses API-based retrieval to access live files from Box via Apideck’s unified file storage API. You'll see how to authenticate users securely with Vault, fetch and download files, and summarize them in real-time with a local LLM using LangChain and Ollama. Includes full code examples, project setup, and a working Streamlit UI to tie it all together.
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