RAG Based Chatbots
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Software Engineer
AI Developer
JavaScript
Ollama
Python
RAG-Based Chatbots
Introduction.
1. RAG (Retrieval-Augmented Generation) is an advanced AI technique that combines the generative capabilities of large language models (LLMs) with domain-specific data retrieval. Using this technique, I have developed three chatbots. These chatbots are capable of understanding context, reasoning through complex queries, and providing relevant, accurate responses. They also feature contextual memory, enabling them to maintain coherent interactions and assist with drafting detailed documentation.
Key Projects.
2. Vidhik Bodhak (Legal Advisor).
(a) Purpose. Acts as a legal advisor specializing in military law.
(b) Features:
(i) Answers queries on military laws and regulations.
(ii) Drafts legal documents and citations with contextual understanding.(iii) Provides analysis of legal cases and precedents.
(c) Impact. Saves time in accessing legal information and enhances the efficiency of stakeholders in decision-making and documentation.
3. Yantrik Bodhak (Military Equipment Advisor).
(a) Purpose. Specializes in A-vehicle diagnostics and maintenance.
(b) Features:
(i) Acts as specialist in answering simple info queries to complex reasoning queries.
(ii) Diagnoses technical issues and provides solutions.
(iii) Responds to varied tactical and repair and maintenance situations.
(c) Impact. Increases efficiency in equipment management and reduces downtime through reliable technical support.
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Posted Dec 17, 2024
Vidhik Bodhak, a RAG-based legal chatbot that answers queries, drafts documents, and analyzes cases using LLMs, enhancing efficiency and decision-making.
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Software Engineer
AI Developer
JavaScript
Ollama
Python
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