144 results for “topic:lancedb”
Private & local AI personal knowledge management app for high entropy people.
Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI
The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.
Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs
High-performance distributed multi-tier cache system. Built in Rust.
Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling
A LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。企业级SaaS版本请访问：
RAG on codebases using treesitter and LanceDB
Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data from any vector databases or repository.
Semantic code searcher and codebase utility
A local-first memory layer for AI (Cursor, Zed, Claude). Persistent architectural context via semantic search.
A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.
Vector search over tweets from the tweet archive using OpenAI embeddings and LanceDB
semantic search for your local files find by meaning, not keywords. 120+ file types, OCR, MCP server for AI agents. 100% private.
Graph RAG workshop using Kùzu and LanceDB for hybrid RAG
Comparing LanceDB and Elasticsearch for full-text search and vector search performance
Your AI has amnesia. Persistent memory and cognitive context for AI. 25 MCP tools. 12ms recall.
Search your GitHub stars with semantic search
Local-first memory sidecar + hybrid memory engine for OpenClaw — capture→SQLite receipts + LanceDB slot backend with safe autoRecall/autoCapture.
High-performance infrastructure libraries built in Rust, with seamless bindings for Python, Node.js, and WebAssembly.
Lightweight representation engineering dataflow operations for agent developers.
Semantic search knowledge base for MCP-enabled AI assistants. Index local files or GitHub repos, query with natural language. Built on LanceDB vector storage. Works with Claude Desktop, Cursor, and other MCP clients.
Code from the ODSC Agentic Graph RAG workshop combining vector, FTS & graph retrieval for RAG. Includes observability and guardrails for evaluating outputs.
spaCy pipeline component for ANN Entity Linking using LanceDB
🤖 Next.js AI Chatbot - Chat with any website
Interactive Social Media Simulation of Believable Human Proxies
A context-aware coding assistant that understands your entire codebase.
🧠 Personal knowledge MCP server with vector database for Opencode. Store and retrieve knowledge using semantic search, powered by local embeddings.
This repository contains comprehensive documentation for implementing and optimizing the A-MEM (Associative Memory) system utilizing both vector and graph storage for dynamic memory organization.
API service to search vectorized Cursor IDE chat history using LanceDB and Ollama