Awesome LLMOps
Section: Vector search · The transactional alternative to Elasticsearch, built on Postgres.
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Appears in 4 awesome lists
Postgres-native search and analytics engine for full-text, faceted, and hybrid retrieval without moving data out of PostgreSQL.
Section: Vector search · The transactional alternative to Elasticsearch, built on Postgres.
Section: 5. Retrieval-Augmented Generation (RAG) & Knowledge · Postgres-native search and analytics engine for full-text, faceted, and hybrid retrieval without moving data out of PostgreSQL.
Section: Database · A transactional alternative to Elasticsearch built on Postgres
Section: Database · ParadeDB is an Elasticsearch alternative built on Postgres, designed for real-time search and analytics.
(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.
Milvus is a cloud-native, open-source vector database built to manage embedding vectors generated by machine learning models and neural networks.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
Python tool for converting files and office documents to Markdown. Supports PDF, PowerPoint, Word, Excel, images, audio, HTML, and more with OCR and transcription capabilities. MIT licensed.
AI-native database built for LLM applications with incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text. Powers RAGFlow's document engine. Apache 2.0 licensed.
Private AI platform for building intelligent agents and assistants with enterprise search. Features Agent Builder, deep research tools, multi-format document analysis, and multi-model support. MIT licensed.