A RAG-based conversational AI for knowledge seekers and autodidactic learners.
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Updated
Aug 12, 2026 - Python
A RAG-based conversational AI for knowledge seekers and autodidactic learners.
MCP server for Qdrant: manage Qdrant Cloud (clusters, backups, keys) and your data (collections, hybrid search, text memory) from Claude Code, Codex, Cursor or any MCP client.
Premium full-stack monorepo RAG Q&A system for industrial documents. Built with React (Vite), FastAPI, Qdrant Cloud, Hugging Face Serverless, and Groq (Llama 3.1). Deployed on Vercel.
Qdrant Essentials final project: hybrid retrieval, Qdrant Cloud, Context Engineering, and validated RAG over Qdrant documentation.
Semantic cache benchmark for Olostep web search using Qdrant Cloud Inference.
Chatbot administrable avec RAG (Qdrant) et tool-calling LLM réel - backend Symfony/API Platform, frontend Nuxt/Vue, modèles Ollama en local / Cloud
RAG chatbot demo (FastAPI + Qdrant + Ollama), cited-answer retrieval over PDF/DOCX/TXT, containerized with docker CI/CD
Multi-agent RAG copilot for enterprise documentation using Gradio, FastAPI, LangGraph, Qdrant Cloud, Anthropic Claude, and Langfuse.
ReAct Framework agent in Python. 14 tools with AST-sandboxed code execution and SSRF-guarded fetching, multi-provider LLM failover, pluggable vector DBs (Pinecone/Weaviate/Qdrant), Redis caching, and independent validation of every answer. Graceful fallbacks throughout.
Real-time external memory and cognitive continuity layer for LLMs, autonomous agents, and model pretraining workflows. Built with zero PyTorch overhead using FastEmbed.
ACTA · API MCP com ferramentas de integração entre IA, PostgreSQL, MongoDB e Qdrant · Inteligência Artificial
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