Knowledge base Q&A program using LangChain for retrieval-augmented prompting and PGVector as vector store.
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Updated
May 20, 2023 - Python
Knowledge base Q&A program using LangChain for retrieval-augmented prompting and PGVector as vector store.
A search application using Aurora Postgresql and pgvector for an online retail store product catalog
docker compose setup w/ postgis, pgvector, and govgis_nov2023-slim-spatial
Generative AI demos, an example of a langchain based application that implements Retrieval-Augmented-Generation for an enhanced generation. It uses OpenAI model and OpenAI function tool agent. Able to run Ollama Mistral local LLM too.
Implement RAG (using LangChain and PostgreSQL) for Go applications to improve the accuracy and relevance of LLM outputs
smarter search assistant for pascal college norms 🧠
LlamaRead PDF URL is a powerful and intelligent application designed to seamlessly read and analyze content from both PDFs and URLs. Leveraging the advanced capabilities of LLaMA3, this app transforms the way you interact with documents and web content by providing insightful and accurate answers to your queries.
Testing PostgreSQL pgvector extension as a viable solution to embedding and querying text
Semantic Search by embedding and vector db
Simple spring-boot application which ingest a document to apply RAG pattern in order to enrich model knowledge about doc content.
A starter application that shows data collection, embedding creation and querying, and text completion with OpenAI.
CLI Voice Assistant GPT (pgvector, AWS polly, whisper)
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