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The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.
- rag
- retrieval-augmented-generation
- vector-search
- vectorstore
- embeddings
- embedding
- document-processing
- semantic-search
- text-splitting
- chunking
- ai
- llm
- llms
- typescript
SPARC 2.0 - Autonomous Vector Coding Agent + MCP. SPARC 2.0, vectorized AI code analysis, is an intelligent coding agent framework built to automate and streamline software development. It combines secure execution environments, and version control into
- sparc
- ai
- artificial-intelligence
- code-analysis
- code-generation
- code-review
- code-quality
- agents
- bots
- automation
- software-development
- software-engineering
- programming
- coding
- View more
The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.
- rag
- retrieval-augmented-generation
- vector-search
- vectorstore
- embeddings
- embedding
- document-processing
- semantic-search
- text-splitting
- chunking
- ai
- llm
- llms
- typescript
LibSQL-based persistent memory tool for MCP
RAG (Retrieval Augmented Generation) library for MongoDB Vector Search
A CLI tool to interact with a RAG system using Supabase and OpenAI.
JavaScript/Typescript ORMs for Lantern Vector Database
MCP server for integrating Turso with LLMs
- mcp
- model-context-protocol
- turso
- database
- vector-search
- libsql
- sqlite
- sql
- llm
- ai
- vector-database
- embeddings
- similarity-search
Distance Comparison Preserving Encryption for secure searchable vector embeddings
- encryption
- vector-search
- vector-database
- searchable-encryption
- dcpe
- zero-trust
- client-side-encryption
- rag
- embeddings
- security
- llm
- privacy
大模型应用开发工具包,集成了LangChain、RAG、Agent等功能,帮助开发者轻松构建基于大模型的应用
A lightweight local vector database implementation in Node.js similar to ChromaDB
Gatsby plugin to recommend articles based on OpenAI embeddings and Qdrant vector search.
Product Quantization for Vector Search
A TypeScript/JavaScript module for implementing Retrieval-Augmented Generation (RAG) using Qdrant vector database, Google's Generative AI embeddings, and Groq LLM.
- rag
- retrieval-augmented-generation
- llm
- qdrant
- vector-database
- embeddings
- google-genai
- groq
- langchain
- typescript
- javascript
- ai
- machine-learning
- generative-ai
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Needle AI n8n nodes
- n8n-community-node-package
- needle
- ai
- ai-search
- embeddings
- vector-search
- semantic-search
- document-search
- collection-management
- n8n
Locality-Sensitive Hashing implementation for indexing vectors using random projections
- lsh
- locality-sensitive-hashing
- clustering
- similarity
- nearest-neighbors
- vector-search
- approximate-search
- random-projection
- typescript
A powerful MDX-based database with JSON-LD and vector search support
LibSQL-based persistent memory tool for MCP
- mcp
- memory
- vector
- libsql
- knowledge-graph
- database
- vector-search
- semantic-search
- knowledge-management
- mseep
- mcp-server