Customer-Facing AI Chatbot with RAG Knowledge

We are seeking an experienced developer to implement a graph database and develop a Retrieval-Augmented Generation model using data from our Content Management System (CMS). The task for edtech startup. · ...

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

We are seeking an expert to develop a customer-facing AI chatbot with RAG knowledge. · ...

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 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 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 seeking an expert to develop a customer-facing AI chatbot with RAG knowledge. · ...

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. · ...

We are property insurance claims experts building an internal AI knowledge base of over 45, · 000 client documents.The system combines three data layers: our 45K document library, · Claude's base knowledge, · and live web results — all returned in a single answer. · ...

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

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

+Job summary · We are building an Autonomous Business AI Agent that runs a real business function using LLMs RAG memory tools and decision logic. · +LMMs OpenAI Claude Gemini · RAG pipelines chunking embeddings retrieval re-ranking · Vector DBs Pinecone Weaviate FAISS Chroma · + ...

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 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 ...

We are seeking a Senior RAG · (Retrieval-Augmented Generation) Architect. · evaluate our current RAG setup · validate design assumptions, · identify gaps or risks, · recommend improvements—particularly within · <ul style= ...

We are seeking a skilled freelancer to develop Clinical Insight Agents using RAG. The project involves integrating natural medicine knowledge into AI models to enhance clinical decision-making. · The role requires collaboration with our team to ensure the AI models are accurate a ...