SemanticScuttle - klotz.me

Tags: llm* + vector database* + search*

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1. A Coding Implementation to Build a Document Search Agent (DocSearchAgent) with Hugging Face, ChromaDB, and Langchain

   This tutorial demonstrates how to build a powerful document search engine using Hugging Face embeddings, Chroma DB, and Langchain for semantic search capabilities.

   2025-03-21 Tags: document, search, hugging face, chromadb, langchain, vector database, embedding, agents, llm by klotz
2. LangChain and Elastic Collaborate to Add Vector Database and Semantic Reranking for RAG

   LangChain's ElasticsearchRetriever enables full flexibility in defining retrieval strategies, allowing users to experiment with different approaches.

   2024-06-20 Tags: langchain, elastic, vector database, semantic reranking, search, llm by klotz
3. QA using a Retriever |

   2023-08-17 Tags: langchain, document, search, llm, chat, faiss, chromadb, vector database by klotz
4. Running Llama 2 on CPU Inference Locally for Document Q&A | by Kenneth Leung | Jul, 2023 | Towards Data Science

   2023-08-17 Tags: document, search, llm, chat, faiss, vector database, llama, llama 2 by klotz
5. youssefHosni/Chat-with-Pdf: Step-by-Step Guide to Building a PDF-Chat App using LangChain, OpenAI API & Streamlit

   2023-07-06 Tags: llm, pdf, chat, langchain, streamlit, openai, api, document, search, text, chroma, vector database, github by klotz
6. Building a PDF-Chat App using LangChain, OpenAI API & Streamlit | by Youssef Hosni | Jul, 2023 | Level Up Coding

   https://github.com/youssefHosni/Chat-with-Pdf

   2023-07-06 Tags: llm, pdf, chat, langchain, streamlit, openai, api, document, search, text, chroma, vector database by klotz

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