LanceDB
lancedb/lancedb
An open-source, developer-friendly embedded retrieval library and multimodal AI lakehouse designed for fast, scalable, and production-ready vector search, built on the Lance columnar format.
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lancedb/lancedb
An open-source, developer-friendly embedded retrieval library and multimodal AI lakehouse designed for fast, scalable, and production-ready vector search, built on the Lance columnar format.
genkit-ai/genkit
Genkit is an open-source framework built and used in production by Google's Firebase for developing full-stack, AI-powered applications. It provides cross-language SDKs and unified APIs for integrating various AI models to build chatbots, automations, and recommendation systems.
potpie-ai/potpie
Potpie transforms a codebase and software development lifecycle into a living context graph for AI agents, indexing code, structure, decisions, source history, and team knowledge to enable context-aware coding, planning, and debugging.
agentscope-ai/reme
ReMe is a local-first memory layer for AI agents that transforms conversations and resources into readable, editable, and searchable Markdown memory files.
neomjs/neo
A self-evolving software organism that combines a multi-threaded frontend application engine with an end-to-end AI engineering team operating via cross-model swarm coordination, persistent memory, and runtime application embodiment.
modelscope/evalscope
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
askimo-ai/askimo
A native desktop AI client for chat, local RAG, multi-step AI workflows (Plans), and agent skills, supporting multiple cloud and local LLM providers while keeping user files strictly on the machine.
juspay/neurolink
A TypeScript integration platform providing a unified API for 30+ AI providers and 100+ models, enabling provider swapping, multi-modal voice processing, RAG, memory, and MCP-native tool integration.
stackitcloud/rag-template
A template for building AI chatbots and document management systems using Retrieval-Augmented Generation (RAG), vector search, and FastAPI, designed for deployment on Kubernetes.
infino-ai/infino
Infino is a fast retrieval engine that executes SQL, full-text search, and vector search over a single copy of data stored natively as Parquet on object storage.
xerj-org/xerj
XERJ is a search engine for AI agents that automatically indexes code, documents, logs, and PDFs, enabling agents to query data rather than reading entire files into their context windows. It is Elasticsearch-compatible, allowing existing clients and tooling to work unchanged.
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors
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