Customer-Facing AI Chatbot with RAG Knowledge

+Job Summary · We're building an internal knowledge assistant that can answer questions using our documents Notion pages, · +ResponsibilitiesExtracting + chunking documents · Creating embeddings · Setting up the vector DB · ,+Mandatory Skills,rag,LlM Prompt,MicroSoft Office ...

We're building an internal knowledge assistant that can answer questions using our documents — Notion pages, · training manuals, · internal SOPs, · and a few PDFs. · ...

We're looking for a RAG expert to conduct a focused, high-impact review of an existing or planned retrieval system. · This short, time-boxed session aims at identifying structural issues that affect accuracy, grounding, and hallucination risk. · ...

We are building an AI-powered internal knowledge assistant that integrates with platforms like Confluence and Slack. · Indexes company knowledge from multiple sources. · Uses embeddings + vector search for retrieval. · ...

We're building a knowledge curation platform (V.E.T.S.) that combines · RAG with domain expert refinement. · ...

We're looking for a private internal AI assistant to help employees ask questions and get accurate answers with citations. The bot must not hallucinate and should only use our documents as sources. · ...

We are looking for a skilled Full-Stack Developer with experience in Generative AI and RAG (Retrieval-Augmented Generation) pipelines to build a Knowledge Assistant with a Web UI. · ...

We are seeking a skilled professional to enhance the knowledge quality of our RAG chatbot.The ideal candidate will analyze existing data, identify gaps in responses, and implement strategies to improve accuracy and user satisfaction. · ...

We are looking for a skilled Full-Stack Developer with experience in Generative AI and RAG (Retrieval-Augmented Generation) pipelines to build a Knowledge Assistant with a Web UIThe core purpose of this application is to allow users (enterprises, researchers, HR departments) to u ...

We are seeking a RAG expert with experience in Python or N8n to assist in the architecture and implementation of ingesting a knowledge base consisting of approximately 1 million pages of financial information. · The ideal candidate will have a strong understanding of data process ...

We are looking for an AI/ML engineer to build a prototype Retrieval-Augmented Generation (RAG) system that allows querying internal documents using an LLM. · Ingest 50–100 documents (PDF / TXT) · Vector database setup (FAISS / Chroma / Qdrant) · LLMpowered question answering with ...

I'm looking for an experienced langflow/llm engineer to extend an already working rag system with knowledge graph layer. · ...

Necesito un desarrollador senior para construir una aplicación privada basada en navegador RAG (Retrieval-Augmentated Generation) Esta herramienta permitirá subir documentos grandes (incluyendo PDFs de 1.000–2.000+ páginas), indexarlos e interrogarlos con respuestas con base en c ...

We are looking for an AI Engineer to develop a Retrieval-Augmented Generation system designed to automate internal technical support. · ...

We're looking for a knowledge and retrieval systems expert who wants to come help build the next generation of financial retrieval services. · ...

We are seeking a LangGraph / LangChain Expert who can design and implement multi-agent RAG workflows at production scale. · Architect and implement multi-agent pipelines in LangGraph and LangChain. · Design agent-to-agent communication, routing logic, and memory persistence strat ...

I am looking for clients who need a professional Retrieval-Augmented Generation (RAG) system built or improved for real-world use cases. I design and develop end-to-end RAG solutions that combine document retrieval with LLMs to deliver accurate, grounded, and scalable AI response ...

We are looking for an experienced AI / RAG specialist. · The role involves improving retrieval accuracy, fixing context handling, and ensuring responses are fully grounded in the knowledge baseMachine Learning, · Chatbot Development, · ...

We are looking for a developer with experience in Retrieval-Augmented Generation using LangChain to build an AI application connected to documents or a knowledge base. · Build RAG pipelines using LangChain · Connect LLMs with PDFs / text / structured data · Implement vector searc ...

We are looking for an experienced AI engineer who truly understands Retrieval-Augmented Generation (RAG) systems and can implement them end-to-end. · The test task will involve building or improving a RAG pipeline, · including data ingestion embedding retrieval · and LLM response ...