Showing 1-13 of 13 projects
Vector database for AI applications
An open-source course to build a production-ready LLM & RAG system using best practices in LLMOps
A platform for developers to integrate ChatGPT with a custom knowledge base using the OP Stack (OpenAI + Pinecone Vector Database)
An open-source project that helps developers learn about large language models (LLMs), LLM operations, and vector databases for building real-time financial AI assistants.
A Python library for representing, sending, storing, and searching multimodal data in AI and ML applications.
A no-code platform for building custom LLM Agents with semantic search, chatbots, and more.
A minimal Agentic RAG (Retrieval-Augmented Generation) agent built with LangGraph, for developers to learn RAG quickly.
All-in-one platform for search, recommendations, RAG, and analytics offered via API for vibe coders
This repository provides advanced techniques and cookbooks for building Retrieval-Augmented Generation (RAG) systems.
Manage multiple vector databases (Pinecone, Chroma, Qdrant, Weaviate) with a universal tool suite.
An official MCP server implementation for the Qdrant vector search platform, enabling AI coding tools integrations.
A Python client for Qdrant, a powerful vector search engine for building AI-powered applications.
On-premises conversational RAG with configurable containers for building AI-powered apps
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