RAG

An MCP server that gives Claude semantic search over an Obsidian vault by reusing the embeddings the Smart Connections Obsidian plugin already generated, running the same embedding model locally so a query never leaves the machine.

• MCP servers
• RAG

A retrieval-augmented generation framework, first built at MIT for the SubMIT computing project, aimed at research and education teams who need a configurable, private and extensible assistant with a low barrier to entry.

• RAG

A vector similarity search engine written in Rust that compiles to a 54 KB WebAssembly module, letting a web application run semantic search entirely in the browser with sub-millisecond query latency and no server, API key or per-query cost.

• RAG
• Databases

A human-in-the-loop workbench that turns a domain expert's intuitive sense of "find me content like this" into a reproducible, auditable classifier trained on a rubric-judged sample of a large text corpus.

• RAG
• Data engineering

A scenario-based knowledge base question-answering system that turns uploaded documents into an LLM-generated wiki with a linked knowledge graph, then publishes each scenario as its own public question-answering page or an API-authenticated knowledge base for an AI agent.

• Agent memory
• RAG

A white-box, self-hosted platform for learning and inspecting retrieval-augmented generation, showing the whole pipeline: document ingestion, chunking, embedding, vector and BM25 retrieval, prompt assembly and citation tracing, backed by its own benchmark data.

• RAG
• Tutorials

A framework that follows the AutoML philosophy to let a developer build a customized retrieval-augmented generation pipeline in a few lines of code, without handling each module separately.

• RAG

A local-first knowledge layer that turns an organization's scattered documents, operational data and decision history into searchable, source-linked context an AI agent can inspect and reuse.

• Agent memory
• RAG

A single local executable that runs and manages AI models across every GPU on a machine and turns them into a citation-backed search engine over a user's own files, notes, code and the web.

• RAG
• Inference

An evaluation framework and reference implementation for a multi-agent, graph-based retrieval-augmented generation method aimed at legal judgment prediction.

• RAG
• Papers

The official LangChain integration package for the Milvus vector database, providing vector storage, similarity search, hybrid search and retrieval-augmented generation support.

• RAG
• Databases

A Python library that integrates embedding and reranker models from providers such as OpenAI, Voyage AI, Cohere and Hugging Face for use with the Milvus vector database.

• RAG
• Databases

An open-source deep-research MCP server that fuses results from several search sources into a cited synthesis, for Claude Code, Codex, Cursor and other Model Context Protocol agents.

• MCP servers
• RAG

A research framework that improves the faithfulness of retrieval-augmented generation by identifying and suppressing the feed-forward network layers most responsible for a model ignoring retrieved context.

• RAG

A privacy-first browser extension that adds a sidepanel chat workspace for local and remote language models, including Ollama, LM Studio and llama.cpp, with local retrieval-augmented generation and browser-context tools.

• RAG
• Inference

An open-source Python library that parses Excel workbooks into citation-ready, token-counted JSON chunks for language models, retrieval-augmented-generation pipelines and AI agent frameworks, preserving cells, formulas, merged regions, tables and charts.

• RAG

A semantic search tool for text columns in spreadsheets, letting journalists, researchers and anyone working with survey responses or similar data search a CSV by meaning instead of exact keywords.

• RAG
• Data engineering

A single C++ binary, built on ggml, for text and document understanding: embeddings, sparse and multi-vector retrieval, reranking, optical character recognition, layout analysis, and named-entity extraction, with no Python or ONNX runtime required.

• RAG

A local, privacy-first inference server that separates fact storage from language composition, retrieving facts from plain markdown files with a small keyword index instead of relying on a large model's memorized weights.

• RAG
• Inference

Sample code and a CloudFormation template for building a question-answering application with Amazon Bedrock, using a knowledge base backed by Amazon OpenSearch Serverless for retrieval-augmented generation.

• RAG
• Tutorials

A Rust crate implementing the BM25 relevance-scoring algorithm as an embedder, scorer and in-memory search engine, for use directly or alongside vector databases such as Qdrant, Pinecone or Milvus.

• RAG
• Libraries

A React UI widget that adds Vectara-powered semantic search to a React application with a few lines of code, including a search input, results modal and configurable behavior.

• RAG
• UI kits

A Python SDK for building vector search, retrieval-augmented generation and AI applications directly on Oracle AI Database, combining semantic similarity with relational and spatial filtering.

• RAG
• Databases

A local, offline-ready Rust command-line tool for retrieval-augmented document search and question answering, storing everything in a single SQLite index.

• RAG