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
Local Retrieval-Augmented Generation (RAG) pipeline using LangChain and ChromaDB to query PDF files with LLMs.
Multi-agent AI system for actionable stock insights using LLMs (DeepSeek), SEC filings, yFinance, LangSearch, and Ollama.
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