There are 3 repositories under vectordb topic.
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere) using AWS CDK on AWS
JS/TS library to make to easy to build with LLMs. Full support for various LLMs and VectorDBs, Agents, Function Calling, Chain-of-Thought, RAG, Semantic Router and more. Based on the popular Stanford DSP paper. Create and compose efficient prompts using prompt signatures. 🌵 🦙 🔥 ❤️ 🖖🏼
LangStream. Event-Driven Developer Platform for Building and Running LLM AI Apps. Powered by Kubernetes and Kafka.
A collection of apps powered by the LangChain LLM framework.
Awesome List of Vector DB resources
Zephyr 7B beta RAG Demo inside a Gradio app powered by BGE Embeddings, ChromaDB, and Zephyr 7B Beta LLM.
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.
AWS SageMaker, SeldonCore, KServe, Kubeflow & MLflow, VectorDB
A universal Qdrant table frontend based on transformers.js
Python SDK for FirstBatch: Real-time personalization using vectorDBs
Deployment of chromadb into AWS resources through terraform
This project demonstrates how to parse emails, process them using OpenAI's GPT-3.5, and load the data into a Weaviate vector database for enhanced search capabilities. Utilizing few-shot prompts and parallel processing, it showcases the power of combining NLP techniques with vector search.
AI Toolkit for Node.js (LLM, Image Generation, Embeddings, Vector Search)
ChatPDF is a Streamlit app allowing users to query PDF & DOCX content via natural language. It indexes documents for conversational interactions using OpenAI's API & FAISS for rapid matching. Upload, ask, and get insightful responses instantly.
Question Answering application with Large Language Models (LLMs) and Amazon Aurora Postgresql using pgvector
A pipeline to convert contextual knowledge stored in documents and databases into text embeddings, and store them in a vector store
Chat with your code using natural language
🗣 📊Chat2Data is a tool for interacting with your DATA, supporting MySQL, PostgreSQL, SQLite3, and CSV files
A CLI tool written in Go to chat with your pdf data
go native port of annoy. Approximate Nearest Neighbors in optimized for memory usage and loading/saving to disk.
A vectorize-and-search application built on top of LangChain, Qdrant, and large & small language model pipelines!
Simple in-memory vector database for text similarity in Node.js
Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service
Vector index module for MyScaleDB, the SQL vector database for scalable AI.
Document Querying with LLMs - Google PaLM API: Semantic Search With LLM Embeddings
TypeScript SDK for FirstBatch: Real-time Personalization using VectorDBs.
An implementation of Langchain Vector DB with ChatGPT
Mr.Wiki is a RAG retrieval chatbot based on the local LLM (Large Language Model) and utilizes a vector database. It is developed using Python3.
Who's that Pokemon (card)? Search over more than 10K Pokemon cards to find out the coolest one yet! ✨
Chroma is the open-source embedding database