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Ryan Orban

Ryan Orban

Subject
5 entries

Semantic Search

Bookmarks

  1. Episodic Memory: semantic search for Claude Code conversation history

    Semantic search over past Claude Code conversations via local embeddings and MCP. Preserves the trade-offs, alternatives, and preferences that live nowhere else.

  2. txtai: All-in-One Embeddings Database

    txtai is an all-in-one open-source embeddings database combining semantic search, LLM orchestration, and language model workflows. Positions itself as the engine underneath an AI application rather than a standalone vector database.

  3. Semantic Search and Q&A with GPT-3 and Datasette

    Simon Willison's tutorial on building Q&A over documentation using GPT-3, embeddings, and Datasette — an early practical guide to semantic search that Willison built for his own blog. One of the first clearly explained end-to-end RAG implementations from a respected practitioner.

  4. Google Talk to Books

    Google's Talk to Books lets you search a large corpus of books using natural language statements, returning passages that respond semantically to your query. An early public demonstration of semantic search over a curated corpus, predating the vector database era.

  5. Sentence Transformers: Pretrained Models

    The Sentence-BERT pretrained models documentation — a reference for choosing the right sentence embedding model for semantic similarity, semantic search, or paraphrase detection tasks. The go-to resource when you need to pick a model before training your own.

All bookmarks