AI-powered chatbot capable of long-term memory.
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Updated
Jun 29, 2023 - Python
AI-powered chatbot capable of long-term memory.
Thinking and building agents around LLMs
Trained chat-gpt 3.5 turbo model on 1000+ FAQs for students by vectorizing data using Pinecone DB. Used Langchain API & Reddit API for embedding & querying data, hosted w/ AWS Elastic Beanstalk.
"if-then-else" over topics made up of free-form sentences. Build conversations, not LLM chains!
NoSQL project
Streamline PDF data retrieval with PDFIntellect, harnessing the intelligence of LLMs via an intuitive Streamlit interface.
Image Similarity Search with CLIP and Upstash Vector
LangChain is a framework, which is very helpful and easy to build applications based on available Large Language Models.
Vector Database by Relevance AI. Fast and simple with support for chaining.
FilterMate is a Qgis plugin, an everyday companion that allows you to easily filter your vector layers
Building and Deploying LLM models
Elasticsearch demo of naive RAG
This repository deals with vector database preparation.
In this repo, I build a chatbot for a specific clothing store, the chatbot act as a employee that has the specific knowledge about clothing consultant, website using support and clothes shop info giver.
This repo was for learning purpose.
RAG (Retrieval Augmented Generation) and vector search to translate natural language into SQL queries for PostgreSQL databases.
Seed project demonstrating how to use Pinecone Scala client
Web Vector Storage (WVS) is a lightweight and efficient vector database that stores document vectors in the browser's IndexedDB. It supports perform semantic similarity searches on text documents using vector embeddings. Embedding is enabled through use of OpenAI, Ollama or HuggingFace Transformer embedding models.
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