Python RAG Chatbot Prototype

₹1500-12500 INR

Concluído

Publicado há aproximadamente 1 mês

₹1500-12500 INR

Pago na entrega

I want a lightweight Retrieval-Augmented Generation chatbot built in Python that I can spin up locally, feed with my own PDFs or plain-text files, and query in natural language. Your script should take the uploaded documents, create embeddings, store them in a vector store, pull back the most relevant chunks when I ask a question, and hand that context to an LLM (Gemini or OpenAI) for the final answer. LangChain or LlamaIndex is fine for the orchestration layer, and I’m happy with either FAISS or Chroma as the vector database. Keep external dependencies minimal and clearly documented. A straightforward UX is all I need: a command-line prompt or a bare-bones web page that lets me upload files, enter a question, and read the answer. Please include clear setup instructions, environment file, and a short README so I can reproduce your results. Deliverables • Clean, well-commented Python source code • [login to view URL] or pyproject with pinned versions • README covering setup, key commands, and how to add new documents • Brief demonstration (video or screenshots) showing document upload and Q&A flow Acceptance criteria • Documents are successfully parsed, embedded, and stored • Questions return contextually accurate answers driven by the chosen LLM API • Response time remains under a few seconds for small corpora on a standard laptop If this goes smoothly, I have additional ideas—such as auth, chat history, and richer UI—that we can tackle next.

AI Chatbot

Natural Language Processing

LangChain

Gemini

Python

Software Architecture

JavaScript

Java

ID do Projeto: 40302002

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Ativo há 1 mês

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@Satyaranjan8866

Hello, I can build this RAG chatbot for you quickly. I have experience with Python, LangChain, vector databases like FAISS/Chroma, and LLM APIs such as Gemini and OpenAI. I can implement document loading, embeddings generation, vector storage, and a simple interface for asking questions from the uploaded documents. Since this is a small proof-of-concept project, I can complete it within a day. Looking forward to working with you. Best regards.

₹4.400 INR em 1 dia

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5 freelancers estão ofertando em média ₹5.160 INR for esse trabalho

@Hemantt841

Hi, I see you need a lightweight Python RAG chatbot prototype that runs locally and allows uploading PDFs or text files for natural language queries. You want the system to create embeddings, store them in a vector database, and use an LLM like Gemini or OpenAI for answers, with minimal dependencies and clear documentation. Your requirement for using LangChain or LlamaIndex as the orchestration layer and FAISS or Chroma for vector storage is well noted. The simple UX with either a CLI or minimal web interface, plus detailed setup instructions and demonstration, are essential to ensure ease of use and reproducibility. The focus on fast response times and clean, commented code aligns perfectly with creating a practical tool. I have built Python chatbots using LangChain integrated with FAISS for embedding storage and OpenAI for answers, including document parsing and vector indexing. I delivered similar projects with clean modular code, pinned dependencies, and straightforward CLI or Flask-based frontends. This experience ensures I can build your prototype exactly as you envision, with clear documentation and demonstration. I can deliver the complete prototype, including code, documentation, and demo, within 7 days. Let’s discuss the details so I can start aligning the work with your expectations right away.

₹1.650 INR em 7 dias

5,0

(7 avaliações)

3,0

@mariamz24

Hello, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on Java, JavaScript, Python, Software Architecture, Natural Language Processing, LangChain, AI Chatbot, Gemini Please come over chat and discuss your requirement in a detailed way. Thank You

₹1.500 INR em 7 dias

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@netclickgr

I'll build a lightweight Python RAG chatbot that processes PDFs/text files locally, creates embeddings, stores them in FAISS vector database, and delivers contextual answers via LLM integration with minimal dependencies. The system uses LangChain for orchestration, implements document parsing/chunking, embedding generation, semantic search, and LLM context integration with a web interface for file upload and Q&A, optimized for sub-second responses. My decade of Python experience ensures clean, well-documented code with comprehensive setup instructions ready for ₹6,250 INR delivery in 5 days.

₹6.250 INR em 5 dias