vector-db

Python SDK for vector search, semantic search, RAG, embeddings, and AI agents on Oracle AI Database

Comparing LanceDB and Elasticsearch for full-text search and vector search performance

Unstract's interface to LLMs, Embeddings and VectorDBs.

Product Quantization (PQ) vector compression engine partitioning embeddings into discrete codebook indices

Product Quantization (PQ) vector compression engine partitioning embeddings into discrete codebook indices

The missing developer tool for working with vector databases. A comprehensive desktop app for visualizing, querying, and managing vector data.

A RAG assistant using Ollama (Mistral), Qdrant vector DB, and Streamlit UI. Upload documents, scrape web pages, and interact with your data using real-time, session-isolated chat.

Identify mountain peaks in your photos using AI—zero-shot retrieval, landmark re-ranking, and geospatial priors.

🚀 An intelligent, LLM-enhanced log parser pipeline that converts multi-format raw logs into structured JSON, learns from missed patterns, and evolves using Drain3 & open-source LLMs.

AI- & vector database-powered Quora question search

Comparative study evaluating performances of Milvus Vector-based RAG vs Neo4j Graph-based RAG systems for Enterprise Knowledge Retrieval

This project aims to create a comprehensive, searchable knowledge base from the online articles and forum posts of Dr. Ulrich Strunz. The final application will be a Dockerized service that uses a Large Language Model (LLM) accessed via the Meta-Cognitive Prompting (MCP) protocol to provide users with intelligent access to this knowledge.

OpenAI-compatible proxy for Codex CLI & Claude Code → OpenWebUI, with Qdrant vector DB for RAG

Automation of Prioritization and Categorization of Support Tickets Using LLMs and Vector DBs

A proof-of-concept of retrieval-augmented generation, using Google's PaLM API.

Pinecone Vector DB

MetalOS: Revolutionary cognitive OS managing attention, context, intent, and meaning. Autonomous workflow orchestration via n8n, Ollama LLM, and PostgreSQL vector embeddings.

Parallel Memory is an AI/ML system that tracks how personal memories change over time, detects emotional and narrative drift, and simulates alternate life timelines. It stores each user’s data separately, aggregates anonymized feedback globally for continuous improvement, and uses a blackboard protocol for persistent task coordination, checkpoints,

FastAPI 기반 Orbit AI 서버입니다. 사내 문서/회의록 임베딩 검색, Qdrant Vector DB 연동, Hybrid RAG 문서 검색 API를 제공합니다.

A personalized AI product search engine using free-tier OpenRouter LLMs, MiniLM semantic search & Weaviate DB. https://medium.com/@rajesh1804/grocerygpt-how-i-built-a-personalized-grocery-search-engine-with-llms-vector-dbs-zero-cloud-fbacddf0feef