28 Feb Indexes Component of LangChain

Indexes are tools for organizing and storing data in a way that enables efficient retrieval and search. They act as a structured repository for documents, embeddings, or other data, making it easier to find relevant information quickly.

Types of Indexes

1. Vector Indexes:
   • Store numerical representations (embeddings) of text, enabling semantic search and similarity-based retrieval.
   • Example: FAISS, a library for efficient similarity search of dense vectors.
2. Document Indexes:
   • Store raw documents or text chunks, often paired with metadata for filtering or categorization.
   • Example: A database of PDFs or articles indexed by title, author, or topic.

Why Are Indexes Important?

• They provide the foundation for retrieval-based tasks, enabling systems to quickly find and use relevant information.
• Indexes are essential for building scalable and efficient applications, especially when dealing with large datasets or complex queries.

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