skills

at is a fairly complete trace compared to e.g. Gemini Chat. . ElasticSearch (Java) and Meilisearch (Rust) do at least porter stemming before indexing. MeiliSearch can be used as a vector database for langchain. meilisearch/meilisearch: https://github.com/meilisearch/meilisearch : Meilisearch docs > langchain guide > Performing Similarity Search: https://www.meilisearch.com/docs/guides/langchain#performing... from langchain.vectorstores import Meilisearch from langchain.embeddings.openai import OpenAIEmbeddings meilisearch/meilisearch-mcp : https://github.com/meilisearch/meilisearch-mcp openobserve/openobserve : https://github.com/openobserve/openobserve : > OpenObserve is an open-source observability platform for logs, metrics, traces, and frontend monitoring. A cost-effective alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment. with SQL in Rust OpenObserve (AGPL) docs > MCP: https://openobserve.ai/docs/integration/mcp/ : > This capability is supported in the Enterprise edition of OpenObserve https://github.com/openobserve/openobserve/issues/6804 openobserve docs > Comparison with Alternatives > How does OpenObserve compare to Elasticsearch: https://openobserve.ai/docs/overview/comparison/ meilisearch blog > "What is GraphRAG: Complete guide [2026]" https://www.meilisearch.com/blog/graph-rag : > How is GraphRAG different from baseline RAG? > GraphRAG represents one of the different types of RAG, and its retrieval process differs from baseline RAG. > Baseline RAG is vector search-based, while GraphRAG uses structured relationships to get the end result. GraphRAG can still use vector and full-text search, but relationships drive what gets retrieved. /? graphrag sqlite fts : https://www.google.com/search?q=graphrag+sqlite+fts