There are 3 repositories under vectordb topic.
Neo4j graph construction from unstructured data using LLMs
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
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.
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.
Awesome List of Vector DB resources
A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
Zephyr 7B beta RAG Demo inside a Gradio app powered by BGE Embeddings, ChromaDB, and Zephyr 7B Beta LLM.
AWS SageMaker, SeldonCore, KServe, Kubeflow & MLflow, VectorDB
A universal Qdrant table frontend based on transformers.js
NotionGPT, a practical tool built on top of ChatGPT large language model, make it your note-taking assistant!
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)
A pipeline to convert contextual knowledge stored in documents and databases into text embeddings, and store them in a vector store
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
Simple in-memory vector database for text similarity in Node.js
Chat with your code using natural language
🗣 📊Chat2Data is a tool for interacting with your DATA, supporting MySQL, PostgreSQL, SQLite3, and CSV files
go native port of annoy. Approximate Nearest Neighbors in optimized for memory usage and loading/saving to disk.
A CLI tool written in Go to chat with your pdf data
Miscellaneous codes and writings for MLOps
A vectorize-and-search application built on top of LangChain, Qdrant, and large & small language model pipelines!
Document Querying with LLMs - Google PaLM API: Semantic Search With LLM Embeddings
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.
TypeScript SDK for FirstBatch: Real-time Personalization using VectorDBs.
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.