Articles by tag: vector-search

News Sentiment as a Trading Signal: Guide for Algo-Traders

How to Use Vector Search and RAG for News Analysis and Generation of Trading Signals. Practical Examples and Code for the Crypto Market.

Hybrid Search in PostgreSQL | VectorChord Setup

We break down the infrastructure setup for hybrid search on PostgreSQL and VectorChord. Automation of extensions, table design, processing pipelines. Learn how.

KNN Prefiltering Manticore Search with ACORN-1

KNN Search Optimization in Manticore: HNSW Prefiltering, ACORN-1 and fullscan. Automatic Strategy Selection for Filters of Any Selectivity. Speed Up Vector Search — Read Details.

Manticore Hybrid Search: BM25 + KNN

Learn how hybrid search in Manticore Search combines BM25 and KNN for exact matches and semantics. Code examples, RRF, settings. Boost recall in RAG and e-commerce.

JuliaLM: RAG for knowledge bases without ChatGPT

Implement a personal RAG system on FastAPI and SurrealDB. Cascade parsing, 4 search strategies, context budgeting. For middle/senior dev. Study the architecture and code.

RAG: smart document search for developers

Break down the implementation of Retrieval-Augmented Generation: from embeddings to hybrid search and RRF. Code, algorithms, optimizations for middle/senior. Build your own system.

pgvector vs pgvectorscale vs VectorChord: comparison

Technical comparison of PostgreSQL extensions for vector search: pgvector, pgvectorscale, VectorChord. Benchmarks, HNSW/DiskANN indexes, RaBitQ compression. Docker setup and code for 1M records. Choose the optimal solution.

Graph instead of RAG for regulatory documents

Why vector search breaks on regulations: from flat chunks to graph of nodes and links. Multi-mode retrieval, terms, mandatory context. For middle/senior dev. Learn more.