11 docs tagged with "vector-index"

Build a real-time academic papers index. Extract metadata, chunk and embed abstracts, and enable semantic and author-based search over academic PDFs.

Use Google Document AI to parse document, embed the resulting text, and store it in a vectorized database for semantic search.

Indexing images with CocoIndex and Vision Model CLIP for efficient image search and natural language querying

Build image search index with ColPali and FastAPI

Extract, embed, and index both text and images from PDFs for advanced multimodal search. Leverage SentenceTransformers and CLIP for unified vector search, complete with metadata linkage, thumbnails, and full traceability.

Build a visual document indexing pipeline using ColPali to index scanned documents, PDFs, academic papers, presentation slides, and standalone images — all mixed together with charts, tables, and figures - into the same vector space.

Covers extracting and embedding faces from images, structuring data for visual search, and exporting to a vector database for face similarity queries.

Build a real-time codebase index for retrieval-augmented generation (RAG) using CocoIndex and Tree-sitter. Chunk, embed, and search code with semantic understanding.

Build real-time data transformation pipeline with S3 and CocoIndex.

Indexing text with CocoIndex and text embeddings, and query it with natural language.

Transform data from PostgreSQL table as source, transform with both AI models and non-AI data mappings, and write them into PostgreSQL/PgVector for semantic + structured search.