Streamlining Pre-Sales Processes with LangChain, OpenAI, and GPT

Muhammad Arsalan Amjad

Data Scientist
ML Engineer
AI Developer
LangChain
OpenAI
Python

This application leverages LangChain, OpenAI API, and GPT-4 to handle pre-sales activities such as managing Requests for Proposals (RFPs). It facilitates document upload, processing, and querying through an interactive interface. Documents are split into manageable chunks, embedded using OpenAI's models, and indexed with FAISS for efficient retrieval. The application utilizes a history-aware retrieval mechanism powered by GPT-4, allowing it to maintain context across user sessions and generate detailed, relevant responses and documents. This setup enables dynamic interaction and document generation, tailored to specific pre-sales requirements like generating technical proposals and handling complex queries about RFPs.

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