vector-search

Semantic Search & Call Graphs for AI Agents (100% Local)

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

Template for building your own custom ChatGPT style doc search powered by Next.js, OpenAI, and Supabase.

XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command indexes code, docs, logs and PDFs for search, RAG, security audits and agent memory, using 40x fewer tokens than grep. Elasticsearch compatible, so existing clients just work.

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

Python client for Qdrant vector search engine

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

Benchmark for vector databases.

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

A @ClickHouse fork that supports high-performance vector search and full-text search.

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

Rust library for generating vector embeddings, reranking locally!

RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.

This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!

RAG Time: A 5-week Learning Journey to Mastering RAG

Epsilla is a high performance Vector Database Management System

Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.

Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift