SemanticScuttle - klotz.me

klotz: search* + llm*

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1. 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
2. Building RAG-Based Chatbots Using Streamlit + Langchain

   2023-11-07 Tags: rag, llm, streamlit, langchain, document, search, summarization, q and a by klotz
3. Forget RAG, the Future is RAG-Fusion The Next Frontier of Search: Retrieval Augmented Generation meets Reciprocal Rank Fusion and Generated Queries

   2023-10-07 Tags: rag, search, llm, query expansion by klotz
4. From RAGs to Riches 10 Applications of vector search to deeply understand your data and models

   Image Similarity Search
   Reverse Image Search
   Object Similarity Search
   Robust OCR Document Search
   Semantic Search
   Cross-modal Retrieval
   Probing Perceptual Similarity
   Comparing Model Representations
   Concept Interpolation
   Concept Space Traversal
   Image Similarity Search

   2023-10-26 Tags: llm, rag, similarity, vision, document, search, machine learning by klotz
5. GitHub - freedmand/semantra: Multi-tool for semantic search

   2023-04-28 Tags: search, llm, documents, semantic, github by klotz
6. LLM vector search

   2023-06-23 Tags: llm, vector, search, embedding, python by klotz
7. Metaphor Search API

   2023-08-10 Tags: metaphor, search, scraper, llm by klotz
8. Models | OpenRouter

   2023-11-18 Tags: llm, models, search, openrouter by klotz
9. OpenAI Question Answering using Embedding and LLM

   LangChain has many advanced retrieval methods to help address these challenges. (1) Multi representation indexing: Create a document representation (like a summary) that is well-suited for retrieval (read about this using the Multi Vector Retriever in a blog post from last week). (2) Query transformation: in this post, we'll review a few approaches to transform humans questions in order to improve retrieval. (3) Query construction: convert human question into a particular query syntax or language, which will be covered in a future post

   2024-05-06 Tags: openai, llm, embedding, search by klotz
10. Paper page - Context Tuning for Retrieval Augmented Generation

    2023-12-13 Tags: llm, rag, context, metadata, search, arxiv by klotz

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