abhirockzz/langchain-opensearch-rag
Vector databases for generative AI
This tool helps developers quickly set up and experiment with advanced search and generative AI applications using their own documents. It takes a PDF document, processes it, and then allows you to ask questions about its content. This is useful for developers who are building search functionalities or AI chatbots that need to provide answers based on specific source materials.
No commits in the last 6 months.
Use this if you are a developer looking to build a retrieval-augmented generation (RAG) or semantic search application using Amazon OpenSearch and LangChain.
Not ideal if you are an end-user without programming knowledge, as this project requires Python, command-line operations, and cloud service configuration.
Stars
22
Forks
8
Language
Python
License
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Category
Last pushed
Apr 23, 2024
Commits (30d)
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curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/abhirockzz/langchain-opensearch-rag"
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