Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
State-of-the-Art Embeddings, Retrieval, and Reranking
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
Open-source inference server and production cluster for all the models your agent needs.
Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali
π₯€ RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
Rust library for generating vector embeddings and reranking locally!
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.
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corporaβwith retrieval and evaluation tooling included.
RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
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Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.
Local document Q&A in your terminal β powered by on-device LLMs.
Local VS Code search across Claude Code, Codex, and OpenCode chats with Laya reranking
Full-stack multimodal product retrieval and personalized reranking with CLIP, FAISS, Spring Boot, FastAPI, and PostgreSQL.
Sniff out the right record: Jev-powered search for Rails with index-time labels, query understanding, and streamed reranking on top of your own keyword and embedding search
Typed judgment tools for MCP agents. TypeSafe's Jev model as verify, screen, find, classify, rerank, decide, compare, extract, review, gate, and score: the model judges, policy decides auto, review, or escalate.
Jev-powered relevance filtering and reranking for RAG in Python.
Zero-dependency local-first AI memory engine: graph memory, multimodal ingestion, reranking, temporal reasoning, hash-chained ledger, capsule compression, memory formation + runtime layers. 52 MCP tools (41 native + 11 compatible). MIT.
Small System One decision models (17Mβ400M) for Yes/No, Choice, Score, and reranking. Training toolkit, Python inference, and ONNX support for Node.js and browsers.
Reproducible benchmark and reference pipeline for reranked long-term memory retrieval