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The core foundation of the Mastra framework, providing essential components and interfaces for building AI-powered applications.
- ai
- llm
- llms
- agent
- agents
- vectorstore
- embeddings
- rag
- evals
- memory
- tools
- telemetry
- typescript
- opentelemetry
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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
<p align="center"> <img src="https://raw.githubusercontent.com/firstbatchxyz/dria-js-client/master/logo.svg" alt="logo" width="142"> </p>
Create LlamaIndex-powered apps with one command
Common elements used by MongoDB Chatbot Framework components.
fore client library
Typescript SDK for AskNews API
A Model Context Protocol server for fetching and storing documentation in a vector database, enabling semantic search and retrieval to augment LLM capabilities with relevant documentation context.
WebAssembly binding for llama.cpp - Enabling on-browser LLM inference
UI React components for the MongoDB Chatbot Framework
Semantically create chunks from large texts. Useful for workflows involving large language models (LLMs).
- semantic
- chunking
- sentence
- similarity
- cosine
- chunk
- rag
- splitting
- transformers
- transformers.js
- emmbeddings
- onnx
- xenova
- text-processing
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SDK for express that can be used to create a new ADAAS Application with ease
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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The main sdk that contains of connectors to many ADAAS services for simple manipulations across major entities
The TypeScript Code Extractor and Analyzer can be handy for RAG (Retrieval-Augmented Generation) systems for codebases. It provides a detailed and structured representation of the codebase that can be converted into embeddings, enabling more effective adv
- typescript
- typescript-code-analysis
- ts-code-analysis
- ast
- code-parser
- code-mapper
- typescript metadata-extraction
- dependency-graph
- code-structure
- rag
- retrieval-augmented-generation
- codebase-analysis
- typescript-parser
- code-extraction
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MCP server for integrating Tavily search API with LLMs, providing web search, RAG context generation, and QnA capabilities
- mcp
- tavily
- search
- ai
- llm
- model-context-protocol
- web-search
- semantic-search
- api
- rag
- context-generation
- question-answering
- knowledge-retrieval
- ai-search
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Firebase Genkit AI framework plugin for HNSW vector database. Get AI response enriched with additional context and knowledge with HNSW Vector Database using RAG Implementation
- genkit-plugin
- genkit-indexer
- genkit-retriever
- genkit-embedder
- genkit-flow
- genkit-rag
- hnsw
- vector
- rag
- ai
- generative-ai
- genai
Nodejs JS/TS SDK to manage authentication with ADAAS SSO using API Credentials
Client SDK for Memobase
A node package for building AI agents
- openai
- ai
- agent
- agents
- crewai
- autogen
- automation
- rag
- node
- typescript
- chatbot
- gpt
- parallel tool calling
- function calling