pathwaycom/llm-app
Ready-to-run cloud templates for building real-time RAG, AI pipelines, and enterprise search applications that synchronize with various live data sources.
Awesome Infra for AI › Vector Databases & Retrieval Infrastructure
Vector Databases & Retrieval Infrastructure
run-llama/llama_index
LlamaIndex is an open-source data framework for building LLM applications by connecting custom data sources to large language models, focusing on data ingestion, indexing, and retrieval augmented g...
milvus-io/milvus
Milvus is a high-performance, cloud-native vector database designed for scalable vector Approximate Nearest Neighbor (ANN) search, efficiently organizing and searching vast amounts of unstructured ...
VectifyAI/PageIndex
PageIndex is a vectorless, reasoning-based RAG system that builds hierarchical tree indexes from documents and uses LLMs to reason over them for context-aware retrieval.
qdrant/qdrant
Qdrant is an open-source, high-performance vector similarity search engine and vector database designed specifically for AI applications, enabling fast storage, search, and management of vectors wi...
Tencent/WeKnora
WeKnora is an open-source, LLM-powered knowledge framework for enterprise document understanding, semantic retrieval, and autonomous reasoning, featuring RAG, ReAct agents, and an auto-maintaining ...
topoteretes/cognee
Cognee is an open-source AI memory platform that provides AI agents with persistent long-term memory through a self-hosted knowledge graph, combining vector embeddings and graph reasoning.
RyanCodrai/turbovec
TurboVec is a Rust-based approximate nearest neighbor (ANN) vector index with Python bindings, built on Google Research's TurboQuant algorithm for efficient, memory-optimized vector similarity search.
weaviate/weaviate
Weaviate is an open-source, cloud-native vector database for semantic search, combining vector similarity search with keyword filtering, RAG, and reranking capabilities.
memvid/memvid
Memvid is a portable, single-file memory layer for AI agents, offering instant retrieval and long-term memory without needing complex RAG pipelines or server-based vector databases.
alibaba/zvec
Zvec is an open-source, lightweight, and lightning-fast in-process vector database designed for embedding directly into applications, providing low-latency and scalable similarity search.
StarTrail-org/LEANN
LEANN is an innovative, lightweight, and private vector database designed for personal AI, enabling RAG applications with significantly reduced storage requirements by recomputing embeddings on-dem...
neuml/txtai
txtai is an all-in-one AI framework providing an embeddings database for semantic search and LLM orchestration capabilities like RAG and agentic workflows.
zilliztech/claude-context
Claude Context provides semantic code search for AI coding agents, allowing them to access the entire codebase as context in a cost-effective manner using a vector database.
lancedb/lancedb
LanceDB is an open-source, embedded, and cloud-native vector database designed for fast, scalable, and production-ready multimodal vector search, built on the Lance columnar format.
oramasearch/orama
Orama is a JavaScript search engine providing full-text, vector, and hybrid search capabilities, designed for use in browsers, servers, or edge networks, and supporting RAG pipelines.
activeloopai/deeplake
Deep Lake is an AI Data Runtime that provides a serverless multimodal datalake with integrated vector search, optimizing data storage and streaming for AI/ML applications and agentic RAG.
zilliztech/deep-searcher
DeepSearcher is an open-source tool that combines LLMs and vector databases to perform deep research, evaluation, and reasoning on private data, generating accurate answers and comprehensive reports.
vespa-engine/vespa
Vespa is an AI search platform for serving and organizing vectors, tensors, text, and structured data, enabling real-time inference and retrieval at any scale.
postgresml/postgresml
PostgresML is a PostgreSQL extension that integrates machine learning and AI capabilities directly into the database, enabling in-database inference, RAG pipelines, and vector search with GPU accel...
airweave-ai/airweave
Airweave is an open-source context retrieval layer for AI agents and RAG systems, unifying data from various sources into an LLM-friendly search interface.
HelixDB/helix-db
HelixDB is a graph-vector database built in Rust, designed to unify data types like graph, vector, KV, document, and relational data for AI applications and knowledge graphs.
microsoft/SPTAG
SPTAG is a distributed approximate nearest neighbor (ANN) search library by Microsoft for large-scale vector search scenarios, offering high-quality vector index building, searching, and distribute...
infiniflow/infinity
Infinity is an AI-native database designed for LLM applications, offering incredibly fast hybrid search across dense vectors, sparse vectors, tensors, and full-text.
CaviraOSS/LongMemory
LongMemory (formerly OpenMemory) is a self-hosted cognitive memory engine that gives LLMs and agents durable long-term recall over SQLite or Postgres, with Python and Node SDKs.
FlowElement-xinliuyuansu/m_flow
Graph-based retrieval engine for LLM memory that scores knowledge units by the strongest evidence path through a four-layer graph instead of ranking chunks by vector similarity alone.
unum-cloud/USearch
USearch is a high-performance, compact, and broadly compatible single-file similarity search and clustering engine for vectors and texts, primarily focused on user-defined metrics with minimal depe...
Ontos-AI/knowhere
An ingestion pipeline that turns messy unstructured documents into persistent, navigable memory for AI agents — parsing, hierarchy extraction, multimodal structuring and graph construction in one pass.
giancarloerra/SocratiCode
SocratiCode is an open-source codebase context engine that provides deep semantic understanding of entire codebases for AI assistants, enabling hybrid search, dependency graphs, and impact analysis.
zilliztech/attu
Attu is an AI-native GUI for managing Milvus vector databases, offering multi-cluster management, data exploration, vector search, an AI assistant, and monitoring tools.
devflowinc/trieve
Trieve is an all-in-one platform for semantic search, recommendations, and Retrieval-Augmented Generation (RAG) offered via API, featuring self-hosting, hybrid search, and bring-your-own-model capa...
hora-search/hora
Hora is an efficient, Rust-based library offering a collection of approximate nearest neighbor search algorithms for high-performance similarity search.
Zleap-AI/SAG
SAG is an out-of-the-box document retrieval workbench based on the SAG RAG technique, offering a conversational interface, knowledge graph visualization, and advanced retrieval functionalities for ...
vearch/vearch
Vearch is a cloud-native distributed vector database designed for efficient similarity search of embedding vectors in AI applications, offering hybrid search, performance, scalability, and reliabil...
tensorchord/pgvecto.rs
pgvecto.rs is a PostgreSQL extension written in Rust, purpose-built for scalable, low-latency, and hybrid-enabled vector similarity search directly within Postgres.
doobidoo/mcp-memory-service
Self-hosted persistent memory backend for AI agents that stores decisions and context in a semantic store with a typed knowledge graph, served over MCP, REST, CLI and a dashboard.
SeekStorm/SeekStorm
SeekStorm is a high-performance, Rust-native search engine offering sub-millisecond vector and lexical search capabilities as an in-process library and multi-tenancy server.
yoanbernabeu/grepai
grepai is a privacy-first CLI for semantic code search, enabling AI agents and developers to find relevant code by intent using vector embeddings, drastically reducing token usage.
supervc-stack/VectorChord
VectorChord is a PostgreSQL extension designed for scalable, high-performance, and cost-effective vector search, enabling efficient storage and retrieval of billions of vectors.
datastax/jvector
JVector is an advanced, embedded, graph-based approximate nearest neighbor (ANN) vector search engine for Java, optimized for large-scale, high-dimensional data retrieval.
dingodb/dingo
DingoDB is a distributed multi-modal vector database offering unified SQL (MySQL-compatible) for structured and unstructured data, ensuring high concurrency and ultra-low latency.
pixeltable/pixeltable
Pixeltable is a unified multimodal backend that integrates data storage, model execution, embedding indexing, and serving for AI data applications.
milvus-io/pymilvus
Python SDK for Milvus, an open-source vector database designed for AI applications, enabling seamless interaction for vector storage and similarity search.
NGT-labs/NGT
NGT is a high-speed approximate nearest neighbor search library for high-dimensional vector data, featuring graph and tree-based methods, quantization techniques, and multi-language support.
ClaudioDrews/memory-os
A 7-layer memory operating system for LLM agents like Hermes, providing persistent, context-aware memory using Qdrant for vector storage and various other mechanisms for structured facts, session r...
qdrant/qdrant-client
Python client library for the Qdrant vector search engine, facilitating interaction with Qdrant instances for vector storage, search, and remote inference capabilities.
kantord/SeaGOAT
SeaGOAT is a local-first semantic code search engine that uses vector embeddings to enable natural language queries and regular expressions across your codebase without external API calls.
endee-io/endee
Endee is a high-performance open-source vector database designed for AI search and retrieval workloads, supporting RAG, semantic search, and hybrid retrieval with optimized indexing and execution.
zilliztech/VectorDBBench
VectorDBBench is a comprehensive benchmark tool for evaluating the performance and cost-effectiveness of various vector databases and cloud services across diverse scenarios.
EmbeddedLLM/JamAIBase
JamAI Base is an open-source RAG backend platform with an intuitive spreadsheet-like UI, offering built-in LLM, vector embeddings, and reranker orchestration for AI application development.
tantaraio/voy
Voy is a WASM-based vector similarity search engine implemented in Rust, optimized for fast, tiny, and tree-shakable nearest neighbor search on edge servers and in web applications.
philippgille/chromem-go
Chromem-go is an embeddable vector database for Go, offering a Chroma-like interface with zero third-party dependencies, designed for in-memory operation with optional persistence.
myscale/MyScaleDB
MyScaleDB is a SQL vector database built on ClickHouse, designed for high-performance vector search, filtered search, and full-text search in scalable AI applications.
getmetal/motorhead
Motorhead is an LLM memory and information retrieval server that provides API endpoints for managing conversational memory, summarization, and retrieval-augmented generation (RAG) through vector si...
LibreChat-AI/rag-api
FastAPI service that indexes documents into pgvector embeddings by file ID and serves scoped retrieval queries for RAG applications, built primarily for LibreChat.
CodeAbra/iai-personal-memory-engine
A fully local memory engine for AI coding assistants, exposed over MCP: verbatim recall with encrypted local storage, benchmarked retrieval quality and injected memory packs that cut search tokens.
orneryd/NornicDB
NornicDB is a distributed graph and vector database with temporal MVCC, offering Neo4j Bolt/Cypher and Qdrant gRPC compatibility, designed for AI-native workloads like Graph-RAG and agent memory.
epsilla-cloud/vectordb
Epsilla is a high-performance, open-source vector database management system focused on scalable and cost-effective similarity search for embedding vectors.
NeumTry/NeumAI
Neum AI is a data platform for managing large-scale vector embedding creation and synchronization to provide context for LLMs through Retrieval Augmented Generation (RAG).
NVIDIA/cuvs
cuVS is an NVIDIA library providing GPU-accelerated algorithms for vector similarity search and clustering, designed to simplify high-performance vector operations.
verygoodplugins/automem
AutoMem is a graph-vector memory service providing durable, relational, and context-aware long-term memory for AI assistants using a dual-storage layer of FalkorDB and Qdrant.
Restream/reindexer
Reindexer is an embeddable, in-memory, document-oriented database offering high-performance full-text search, k-nearest neighbors (KNN) search, and hybrid search capabilities.
christopherkarani/Wax
Wax is a Swift-native memory engine for AI agents, offering on-device, single-file storage for documents, embeddings, and structured knowledge with blazing-fast RAG on Apple Silicon.
nuclia/nucliadb
NucliaDB is an AI search database for unstructured data, built for Retrieval Augmented Generation (RAG), offering hybrid search with vector, full-text, and graph indexes.
jina-ai/vectordb
A Pythonic vector database for efficient storage and retrieval of embeddings, leveraging DocArray and Jina for scalable solutions locally or in the cloud.
unum-cloud/UStore
UStore is a multi-modal transactional database designed for AI and semantic search, featuring vector-search integration and APIs for various data types.
ggozad/haiku.rag
Agentic retrieval-augmented generation library for local document collections, combining hybrid vector and full-text search, reranking and multimodal retrieval on an embedded LanceDB store.
llm-tools/embedJs
EmbedJs is a Node.js RAG framework for building personalized LLM applications by segmenting data, generating embeddings, and integrating with vector databases for optimized retrieval.
kelindar/search
A Go library for embedded vector search and semantic embeddings, using llama.cpp and GGUF BERT models, suitable for small to medium-scale applications with GPU acceleration.
lightonai/next-plaid
NextPlaid is a local-first multi-vector database and indexing engine that powers ColGREP, a semantic code search tool for terminals and coding agents.
caura-ai/caura
Shared, governed memory for fleets of AI agents: agents write plain text, Caura turns it into searchable multi-tenant memory with scoping, trust tiers and cross-agent outcome propagation.
automataIA/graphrag-rs
GraphRAG-rs is a high-performance Rust implementation of GraphRAG for building queryable knowledge graphs from documents, offering server, WASM-only, and hybrid deployment architectures.
different-ai/embedbase
Embedbase is an AI backend-as-a-service that provides a dead-simple API for LLM interaction and semantic search through hosted embeddings, supporting various LLM providers.
paulpierre/markdown-crawler
A multithreaded web crawler that converts web pages into markdown files, specifically designed to preprocess data for LLM RAG applications.
divagr18/memlayer
Memlayer provides a plug-and-play, persistent memory layer for LLMs and AI agents, enabling intelligent context recall and knowledge extraction through hybrid vector and graph storage.
astronomer/ask-astro
Ask Astro is an open-source reference implementation of an LLM application architecture, providing a Q&A interface for Airflow and Astronomer, utilizing RAG, prompt orchestration, and feedback loops.
matrixarkai/TemporalStore
TemporalStore is a Rust-native, time-aware store for LLM agent memory that ingests events and returns a ranked, token-budgeted ContextPack instead of replaying a growing transcript on every turn.
mage0535/hermes-memory-installer
An agent-agnostic memory sidecar that provides persistent memory, layered recall, and knowledge graphing for AI coding agents, integrating with existing systems without modifying agent internals.
Corpus-OS/corpusos
Corpus OS provides a wire-first, vendor-neutral protocol suite and SDK for standardizing LLM, Embedding, Vector, and Graph infrastructure for AI frameworks.
DrDroidLab/open-index
Structured context layer for AI agents that builds a searchable, continuously refreshed graph of domain entities and relationships from schemas and connectors.
redevops-io/redevops-rag
redevops-rag is a compact library and CLI tool providing a hybrid RAG pipeline with DuckDB for vector search, BM25, Reciprocal Rank Fusion, recency/keyword priors, and optional cross-encoder rerank...