Open pranavvb03 opened 6 days ago
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Feature Description
Develop a Q & A RAG (Retrieval Augmented generation) chatbot on PDF document extraction using Langchain , sentence transformers and FAISS vector indexing with Gemini API that is capable of handling multiple pdf files and answering users queries using information present in pdf files. The model is deployed on Streamlit.
Workflow:
Use Case
Benefits
Efficient Retrieval: FAISS enables rapid retrieval of relevant information from large documents, making the chatbot responsive even with complex or long queries.
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Priority
High
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