Benchmark study on LanceDB, an embedded vector DB, for full-text search and vector search
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Updated
Dec 5, 2023 - Python
Benchmark study on LanceDB, an embedded vector DB, for full-text search and vector search
Unstract's interface to LLMs, Embeddings and VectorDBs.
Automation of Prioritization and Categorization of Support Tickets Using LLMs and Vector DBs
A proof-of-concept of retrieval-augmented generation, using Google's PaLM API.
AI- & vector database-powered Quora question search
A RAG assistant using Ollama (Mistral), Qdrant vector DB, and Streamlit UI. Upload documents, scrape web pages, and interact with your data using real-time, session-isolated chat.
This project aims to create a comprehensive, searchable knowledge base from the online articles and forum posts of Dr. Ulrich Strunz. The final application will be a Dockerized service that uses a Large Language Model (LLM) accessed via the Meta-Cognitive Prompting (MCP) protocol to provide users with intelligent access to this knowledge.
A personalized AI product search engine using free-tier OpenRouter LLMs, MiniLM semantic search & Weaviate DB. https://medium.com/@rajesh1804/grocerygpt-how-i-built-a-personalized-grocery-search-engine-with-llms-vector-dbs-zero-cloud-fbacddf0feef
Local Retrieval-Augmented Generation (RAG) pipeline using LangChain and ChromaDB to query PDF files with LLMs.
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