180 skills found · Page 1 of 6
vanna-ai / Vanna🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
go-ozzo / Ozzo DbxA Go (golang) package that enhances the standard database/sql package by providing powerful data retrieval methods as well as DB-agnostic query building capabilities.
Farzad-R / Advanced QA And RAG SeriesThis repository contains advanced LLM-based chatbots for Q&A using LLM agents, and Retrieval Augmented Generation (RAG) and with different databases. (VectorDB, GraphDB, SQLite, CSV, XLSX, etc.)
zilliztech / AkcioAkcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.
whyhow-ai / Rule Based RetrievalThe Rule-based Retrieval package is a Python package that enables you to create and manage Retrieval Augmented Generation (RAG) applications with advanced filtering capabilities. It seamlessly integrates with OpenAI for text generation and Pinecone or Milvus for efficient vector database management.
ropensci / BiomartrGenomic Data Retrieval with R
anthropics / Anthropic Retrieval DemoLightweight demo using the Anthropic Python SDK to experiment with Claude's Search and Retrieval capabilities over a variety of knowledge bases (Elasticsearch, vector databases, web search, and Wikipedia).
marcominerva / SqlDatabaseVectorSearchA Blazor Web App and Minimal API for performing RAG (Retrieval Augmented Generation) and vector search using the native VECTOR type in Azure SQL Database and Azure OpenAI.
matchyc / Vector Search Papers📚 Awesome papers and technical blogs on vector DB (database), semantic-based vector search or approximate nearest neighbor search (ANN Search, ANNS). Vector search is the key component of large-scale information retrieval, cross-modal retrieval, LLMs-based RAG, vector databases.
seanmcne / OrgDbOrgSettingsThis is a utility allowing admins of Dynamics CRM Online & onPrem to edit organization database settings (aka: OrgDBOrgSettings). This allows you to edit your settings without using the command line utility in the KB article documenting "OrgDBOrgSettings." The utility is written using the CRM SDK as a reference and currently all changes and retrieval of settings are done via the CRM's OData Endpoint and is installed via a managed solution containing several webresources and can easily be installed and uninstalled from your CRM environment.
litegraphdb / LitegraphLightweight graph database with relational, vector, and MCP support, designed to power knowledge and artificial intelligence persistence and retrieval.
Aavache / LLMWebCrawlerA Web Crawler based on LLMs implemented with Ray and Huggingface. The embeddings are saved into a vector database for fast clustering and retrieval. Use it for your RAG.
menloparklab / Langchain Cohere Qdrant RetrievalThis is a template retrieval repo to create a Flask api server using LangChain with Cohere embeddings and Qdrant Vector Database
Delong-liu-bupt / Composed Person Retrieval[NeurIPS 2025] Composed Person Retrieval (CPR) is a new cross-modal retrieval task that aims to identify individuals in large-scale person image databases by combining both a reference image and a textual description as the query.
BijoySingh / AndroidBasicsLibraryThis library offers some barebone code for android common to most applications. It provides simple classes and pre-written functions for - internet access, shared preferences storage and retrieval, image picker and bitmap operations, file read and write, recycler view, image downloading and quick database support
MegaGrindStone / Go Light RagA Go library implementation of LightRAG - an advanced Retrieval-Augmented Generation (RAG) system that uniquely combines vector databases with graph database relationships to enhance knowledge retrieval.
ScaleFree-Tech / YiShape VecDBYiShape Vector Database is a specialized vector database management system and application assistance system for new artificial intelligence applications such as large language models, natural language processing, and image retrieval.
dmarro89 / Dare DbDare-DB is a lightweight in-memory database written in Go, featuring Redis-inspired hashtables and HTTP/HTTPS endpoints for seamless data storage and retrieval, with Docker support for easy deployment
langchain-ai / Langchain MilvusThe LangChain wrapper of Milvus vector database for efficient vector search, full-text search, hybrid retrieval and RAG.
martialblog / Word Embedding StorageStorage and retrieval of Word Embeddings in various databases
